From bafab7f1d7f57771a1443a597e8097ad600655b5 Mon Sep 17 00:00:00 2001 From: anon Date: Sun, 20 Sep 2026 17:57:14 +0200 Subject: [PATCH 1/5] Read the hit-calling scale off the controls that did not fit it hit_calling fits the centroid and covariance on half the controls, then writes a distance for every row. The fitting half sits closer to the centroid it placed, so dose_response's 3 * MAD cutoff came out low and every hit call was permissive. The held-out half is now recorded in obs so anything reading a scale off the controls can read it off the honest rows. Closes #83 --- docs/api.md | 2 +- docs/tutorials/05_hits_and_effects.ipynb | 88 ++++++------- docs/tutorials/11_dose_response.ipynb | 151 +++++++++++++---------- src/mantispy/_core/masks.py | 14 +++ src/mantispy/tl/_dose.py | 6 +- src/mantispy/tl/_hits.py | 2 + tests/test_tl_dose.py | 25 ++++ tests/test_tl_hits.py | 11 ++ 8 files changed, 189 insertions(+), 110 deletions(-) diff --git a/docs/api.md b/docs/api.md index 69ed5ad..d6cf16e 100644 --- a/docs/api.md +++ b/docs/api.md @@ -166,7 +166,7 @@ Writing to a layer suffixes the column, so `key_added="sphered"` flags `var["deg | `tl.consensus` | returns a new object at `"perturbation"` resolution; `obs["Metadata_ReplicateCount"]`, `uns["mantispy"]["consensus_weights"]` | | `tl.effect_size` | `varm[key_added]`, `uns["mantispy"][key_added]` and `..._groups` | | `tl.wasserstein_features` | `varm[key_added]`, `uns["mantispy"][key_added]` and `..._groups` | -| `tl.hit_calling` | `uns["mantispy"][key_added]`, `obs[key_added + "_distance"]`, `obs[key_added + "_row_distance"]`, `obs[key_added + "_qvalue"]` | +| `tl.hit_calling` | `uns["mantispy"][key_added]`, `obs[key_added + "_distance"]`, `obs[key_added + "_row_distance"]`, `obs[key_added + "_qvalue"]`, `obs[key_added + "_reference_held_out"]` | | `tl.edistance` | `uns["mantispy"][key_added]`, or `..._pairwise` when `reference=None` | | `tl.transport` | `uns["mantispy"][key_added]` and `..._units`, `obs[key_added + "_agreement"]` | | `tl.dose_response` | `uns["mantispy"][key_added]` | diff --git a/docs/tutorials/05_hits_and_effects.ipynb b/docs/tutorials/05_hits_and_effects.ipynb index 6a7a242..3e40d84 100644 --- a/docs/tutorials/05_hits_and_effects.ipynb +++ b/docs/tutorials/05_hits_and_effects.ipynb @@ -21,10 +21,10 @@ "id": "8cf688de", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T02:11:46.901044Z", - "iopub.status.busy": "2026-09-20T02:11:46.900927Z", - "iopub.status.idle": "2026-09-20T02:11:50.361099Z", - "shell.execute_reply": "2026-09-20T02:11:50.360509Z" + "iopub.execute_input": "2026-09-20T15:36:29.299791Z", + "iopub.status.busy": "2026-09-20T15:36:29.299694Z", + "iopub.status.idle": "2026-09-20T15:36:42.125218Z", + "shell.execute_reply": "2026-09-20T15:36:42.124586Z" } }, "outputs": [], @@ -56,10 +56,10 @@ "id": "e3ed6ed2", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T02:11:50.363245Z", - "iopub.status.busy": "2026-09-20T02:11:50.362984Z", - "iopub.status.idle": "2026-09-20T02:11:57.384513Z", - "shell.execute_reply": "2026-09-20T02:11:57.383985Z" + "iopub.execute_input": "2026-09-20T15:36:42.127468Z", + "iopub.status.busy": "2026-09-20T15:36:42.127178Z", + "iopub.status.idle": "2026-09-20T15:36:50.411750Z", + "shell.execute_reply": "2026-09-20T15:36:50.411133Z" } }, "outputs": [ @@ -67,7 +67,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/tim.treis/Documents/GitHub/mantispy/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + "/Users/tim.treis/Library/Application Support/hatch/env/virtual/mantispy/n7Ku6oea/tutorials/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n" ] }, @@ -75,7 +75,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_77249/248375202.py:2: UserWarning: 133 of 5857 features have no spread in at least one group of 'Metadata_Plate' among the rows selected by reference='negcon'. Adding epsilon=1e-18 to their scale multiplies them by up to 1e18, so they dominate every distance downstream. They are flagged in var['degenerate_scale']; drop them with adata = adata[:, ~adata.var['degenerate_scale']].copy(). Feature selection does not catch a feature that varies across a plate but is constant among its control wells.\n", + "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_37895/248375202.py:2: UserWarning: 133 of 5857 features have no spread in at least one group of 'Metadata_Plate' among the rows selected by reference='negcon'. Adding epsilon=1e-18 to their scale multiplies them by up to 1e18, so they dominate every distance downstream. They are flagged in var['degenerate_scale']; drop them with adata = adata[:, ~adata.var['degenerate_scale']].copy(). Feature selection does not catch a feature that varies across a plate but is constant among its control wells.\n", " mt.pp.normalize(wells, by=\"Metadata_Plate\", reference=\"negcon\")\n" ] }, @@ -128,16 +128,16 @@ "id": "b0d011da", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T02:11:57.386414Z", - "iopub.status.busy": "2026-09-20T02:11:57.386283Z", - "iopub.status.idle": "2026-09-20T02:11:58.487916Z", - "shell.execute_reply": "2026-09-20T02:11:58.487412Z" + "iopub.execute_input": "2026-09-20T15:36:50.413247Z", + "iopub.status.busy": "2026-09-20T15:36:50.413135Z", + "iopub.status.idle": "2026-09-20T15:36:51.653450Z", + "shell.execute_reply": "2026-09-20T15:36:51.652854Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -158,10 +158,10 @@ "id": "d6a52186", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T02:11:58.489481Z", - "iopub.status.busy": "2026-09-20T02:11:58.489368Z", - "iopub.status.idle": "2026-09-20T02:11:58.498336Z", - "shell.execute_reply": "2026-09-20T02:11:58.497905Z" + "iopub.execute_input": "2026-09-20T15:36:51.655000Z", + "iopub.status.busy": "2026-09-20T15:36:51.654888Z", + "iopub.status.idle": "2026-09-20T15:36:51.673968Z", + "shell.execute_reply": "2026-09-20T15:36:51.673487Z" } }, "outputs": [ @@ -292,16 +292,16 @@ "id": "0c7074f5", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T02:11:58.500276Z", - "iopub.status.busy": "2026-09-20T02:11:58.500127Z", - "iopub.status.idle": "2026-09-20T02:11:58.882324Z", - "shell.execute_reply": "2026-09-20T02:11:58.881564Z" + "iopub.execute_input": "2026-09-20T15:36:51.675326Z", + "iopub.status.busy": "2026-09-20T15:36:51.675221Z", + "iopub.status.idle": "2026-09-20T15:36:53.715624Z", + "shell.execute_reply": "2026-09-20T15:36:53.714852Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -339,10 +339,10 @@ "id": "e3447189", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T02:11:58.883962Z", - "iopub.status.busy": "2026-09-20T02:11:58.883842Z", - "iopub.status.idle": "2026-09-20T02:11:58.967931Z", - "shell.execute_reply": "2026-09-20T02:11:58.967322Z" + "iopub.execute_input": "2026-09-20T15:36:53.717429Z", + "iopub.status.busy": "2026-09-20T15:36:53.717292Z", + "iopub.status.idle": "2026-09-20T15:36:55.255764Z", + "shell.execute_reply": "2026-09-20T15:36:55.255149Z" } }, "outputs": [ @@ -398,10 +398,10 @@ "id": "9a92f5f4", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T02:11:58.969659Z", - "iopub.status.busy": "2026-09-20T02:11:58.969537Z", - "iopub.status.idle": "2026-09-20T02:12:10.090952Z", - "shell.execute_reply": "2026-09-20T02:12:10.090253Z" + "iopub.execute_input": "2026-09-20T15:36:55.257572Z", + "iopub.status.busy": "2026-09-20T15:36:55.257465Z", + "iopub.status.idle": "2026-09-20T15:37:06.179228Z", + "shell.execute_reply": "2026-09-20T15:37:06.178466Z" } }, "outputs": [ @@ -409,7 +409,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_77249/4141726812.py:2: UserWarning: 285 of 5857 features have no spread in at least one group of 'Metadata_Plate' among the rows selected by reference='negcon'. Adding epsilon=1e-18 to their scale multiplies them by up to 1e18, so they dominate every distance downstream. They are flagged in var['degenerate_scale']; drop them with adata = adata[:, ~adata.var['degenerate_scale']].copy(). Feature selection does not catch a feature that varies across a plate but is constant among its control wells.\n", + "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_37895/2835558054.py:2: UserWarning: 285 of 5857 features have no spread in at least one group of 'Metadata_Plate' among the rows selected by reference='negcon'. Adding epsilon=1e-18 to their scale multiplies them by up to 1e18, so they dominate every distance downstream. They are flagged in var['degenerate_scale']; drop them with adata = adata[:, ~adata.var['degenerate_scale']].copy(). Feature selection does not catch a feature that varies across a plate but is constant among its control wells.\n", " mt.pp.normalize(cells, by=\"Metadata_Plate\", reference=\"negcon\")\n" ] }, @@ -562,16 +562,16 @@ "id": "f4ce7cb6", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T02:12:10.093133Z", - "iopub.status.busy": "2026-09-20T02:12:10.093007Z", - "iopub.status.idle": "2026-09-20T02:12:12.541559Z", - "shell.execute_reply": "2026-09-20T02:12:12.540873Z" + "iopub.execute_input": "2026-09-20T15:37:06.181144Z", + "iopub.status.busy": "2026-09-20T15:37:06.181042Z", + "iopub.status.idle": "2026-09-20T15:37:09.325999Z", + "shell.execute_reply": "2026-09-20T15:37:09.325254Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -618,10 +618,10 @@ "id": "2fa841b1", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T02:12:12.543265Z", - "iopub.status.busy": "2026-09-20T02:12:12.543149Z", - "iopub.status.idle": "2026-09-20T02:12:12.546073Z", - "shell.execute_reply": "2026-09-20T02:12:12.545596Z" + "iopub.execute_input": "2026-09-20T15:37:09.327870Z", + "iopub.status.busy": "2026-09-20T15:37:09.327739Z", + "iopub.status.idle": "2026-09-20T15:37:09.331334Z", + "shell.execute_reply": "2026-09-20T15:37:09.330433Z" } }, "outputs": [ @@ -631,11 +631,11 @@ "text": [ "pki, well level\n", " uns: ['hits', 'effect']\n", - " obs: ['hits_distance', 'hits_qvalue', 'hits_row_distance']\n", + " obs: ['hits_distance', 'hits_qvalue', 'hits_row_distance', 'hits_reference_held_out']\n", "\n", "jump_cells, cell level\n", " uns: ['mahalanobis', 'ks', 'effect', 'wasserstein']\n", - " obs: ['mahalanobis_distance', 'mahalanobis_qvalue', 'mahalanobis_row_distance', 'ks_distance', 'ks_qvalue', 'ks_row_distance']\n" + " obs: ['mahalanobis_distance', 'mahalanobis_qvalue', 'mahalanobis_row_distance', 'mahalanobis_reference_held_out', 'ks_distance', 'ks_qvalue', 'ks_row_distance', 'ks_reference_held_out']\n" ] } ], diff --git a/docs/tutorials/11_dose_response.ipynb b/docs/tutorials/11_dose_response.ipynb index b3dbd72..a2200ea 100644 --- a/docs/tutorials/11_dose_response.ipynb +++ b/docs/tutorials/11_dose_response.ipynb @@ -25,10 +25,10 @@ "id": "bac81e87", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T13:45:56.902056Z", - "iopub.status.busy": "2026-09-20T13:45:56.901899Z", - "iopub.status.idle": "2026-09-20T13:46:16.634404Z", - "shell.execute_reply": "2026-09-20T13:46:16.633862Z" + "iopub.execute_input": "2026-09-20T15:34:28.071627Z", + "iopub.status.busy": "2026-09-20T15:34:28.071437Z", + "iopub.status.idle": "2026-09-20T15:35:46.933165Z", + "shell.execute_reply": "2026-09-20T15:35:46.932660Z" } }, "outputs": [ @@ -36,7 +36,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/tim.treis/Library/Application Support/hatch/env/virtual/mantispy/IN9GYQN4/tutorials/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + "/Users/tim.treis/Library/Application Support/hatch/env/virtual/mantispy/n7Ku6oea/tutorials/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n" ] }, @@ -87,10 +87,10 @@ "id": "58b04c93", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T13:46:16.636060Z", - "iopub.status.busy": "2026-09-20T13:46:16.635925Z", - "iopub.status.idle": "2026-09-20T13:46:17.376194Z", - "shell.execute_reply": "2026-09-20T13:46:17.375798Z" + "iopub.execute_input": "2026-09-20T15:35:46.935369Z", + "iopub.status.busy": "2026-09-20T15:35:46.935219Z", + "iopub.status.idle": "2026-09-20T15:35:50.499123Z", + "shell.execute_reply": "2026-09-20T15:35:50.498529Z" } }, "outputs": [ @@ -127,10 +127,10 @@ "id": "8e9ef049", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T13:46:17.377708Z", - "iopub.status.busy": "2026-09-20T13:46:17.377585Z", - "iopub.status.idle": "2026-09-20T13:46:31.840531Z", - "shell.execute_reply": "2026-09-20T13:46:31.839833Z" + "iopub.execute_input": "2026-09-20T15:35:50.500895Z", + "iopub.status.busy": "2026-09-20T15:35:50.500771Z", + "iopub.status.idle": "2026-09-20T15:36:17.907955Z", + "shell.execute_reply": "2026-09-20T15:36:17.906929Z" } }, "outputs": [ @@ -138,7 +138,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_62964/992733786.py:7: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_35609/992733786.py:7: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", " plt.tight_layout()\n" ] }, @@ -184,10 +184,10 @@ "id": "e0c13226", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T13:46:31.844956Z", - "iopub.status.busy": "2026-09-20T13:46:31.844789Z", - "iopub.status.idle": "2026-09-20T13:46:32.839777Z", - "shell.execute_reply": "2026-09-20T13:46:32.839158Z" + "iopub.execute_input": "2026-09-20T15:36:17.911587Z", + "iopub.status.busy": "2026-09-20T15:36:17.911371Z", + "iopub.status.idle": "2026-09-20T15:36:18.928386Z", + "shell.execute_reply": "2026-09-20T15:36:18.927738Z" } }, "outputs": [ @@ -227,10 +227,10 @@ "id": "a5fdbb04", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T13:46:32.841547Z", - "iopub.status.busy": "2026-09-20T13:46:32.841359Z", - "iopub.status.idle": "2026-09-20T13:46:35.567376Z", - "shell.execute_reply": "2026-09-20T13:46:35.566604Z" + "iopub.execute_input": "2026-09-20T15:36:18.929973Z", + "iopub.status.busy": "2026-09-20T15:36:18.929818Z", + "iopub.status.idle": "2026-09-20T15:36:21.497907Z", + "shell.execute_reply": "2026-09-20T15:36:21.497421Z" } }, "outputs": [ @@ -311,17 +311,6 @@ " logistic\n", " \n", " \n", - " Cucurbitacin I\n", - " 18\n", - " 0.521179\n", - " 2.075043e-06\n", - " 35.250061\n", - " 0.171161\n", - " False\n", - " 1.0\n", - " linear\n", - " \n", - " \n", " Calcipotriol (hydrate)\n", " 18\n", " 0.560595\n", @@ -333,15 +322,15 @@ " logistic\n", " \n", " \n", - " 5,6-benzoflavone\n", + " Cucurbitacin I\n", " 18\n", - " 0.521155\n", + " 0.521179\n", " 2.075043e-06\n", - " 39.100805\n", - " 0.614838\n", + " 35.250061\n", + " 0.171161\n", " False\n", " 1.0\n", - " logistic\n", + " linear\n", " \n", " \n", " Fluazinam\n", @@ -355,6 +344,17 @@ " logistic\n", " \n", " \n", + " 5,6-benzoflavone\n", + " 18\n", + " 0.521155\n", + " 2.075043e-06\n", + " 39.100805\n", + " 0.614838\n", + " False\n", + " 1.0\n", + " logistic\n", + " \n", + " \n", " Colistin Methanesulfonate (sodium salt)\n", " 18\n", " 0.437740\n", @@ -375,10 +375,10 @@ "Staurosporine 18 0.601492 3.386089e-08 \n", "CLIOQUINOL 19 0.612883 2.123258e-08 \n", "Amperozide 18 0.520615 2.075043e-06 \n", - "Cucurbitacin I 18 0.521179 2.075043e-06 \n", "Calcipotriol (hydrate) 18 0.560595 2.976855e-07 \n", - "5,6-benzoflavone 18 0.521155 2.075043e-06 \n", + "Cucurbitacin I 18 0.521179 2.075043e-06 \n", "Fluazinam 18 0.574980 1.703180e-07 \n", + "5,6-benzoflavone 18 0.521155 2.075043e-06 \n", "Colistin Methanesulfonate (sodium salt) 18 0.437740 8.568403e-05 \n", "\n", " ec50 r_squared fit_ok \\\n", @@ -386,10 +386,10 @@ "Staurosporine 0.240157 0.131893 False \n", "CLIOQUINOL 75.606859 0.544927 False \n", "Amperozide 45.530173 0.530019 False \n", - "Cucurbitacin I 35.250061 0.171161 False \n", "Calcipotriol (hydrate) 9.933690 0.386427 False \n", - "5,6-benzoflavone 39.100805 0.614838 False \n", + "Cucurbitacin I 35.250061 0.171161 False \n", "Fluazinam 19.725783 0.378008 False \n", + "5,6-benzoflavone 39.100805 0.614838 False \n", "Colistin Methanesulfonate (sodium salt) 6930.981470 0.434041 False \n", "\n", " hitcall hitcall_model \n", @@ -397,10 +397,10 @@ "Staurosporine 1.0 linear \n", "CLIOQUINOL 1.0 logistic \n", "Amperozide 1.0 logistic \n", - "Cucurbitacin I 1.0 linear \n", "Calcipotriol (hydrate) 1.0 logistic \n", - "5,6-benzoflavone 1.0 logistic \n", + "Cucurbitacin I 1.0 linear \n", "Fluazinam 1.0 logistic \n", + "5,6-benzoflavone 1.0 logistic \n", "Colistin Methanesulfonate (sodium salt) 1.0 logistic " ] }, @@ -445,16 +445,16 @@ "id": "2f812053", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T13:46:35.569050Z", - "iopub.status.busy": "2026-09-20T13:46:35.568922Z", - "iopub.status.idle": "2026-09-20T13:46:36.176192Z", - "shell.execute_reply": "2026-09-20T13:46:36.175664Z" + "iopub.execute_input": "2026-09-20T15:36:21.499553Z", + "iopub.status.busy": "2026-09-20T15:36:21.499435Z", + "iopub.status.idle": "2026-09-20T15:36:22.008871Z", + "shell.execute_reply": "2026-09-20T15:36:22.008217Z" } }, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -475,7 +475,17 @@ "cell_type": "markdown", "id": "0399509e", "metadata": {}, - "source": "Staurosporine inhibits kinases broadly and climbs far past the band. Mupirocin inhibits a bacterial enzyme and\nhas no target in a human cell, so it never leaves it. Berberine barely leaves it either in this cell line, and\nthe last section says why that is worth checking rather than resolving here.\n\n## Distance is not the same as phenotype\n\nA compound that kills cells also moves away from the controls, and the curve cannot tell the two apart.\n{func}`~mantispy.tl.cytotoxicity` compares each group's cells per field against the controls', so the calls can\nbe read beside it." + "source": [ + "Staurosporine inhibits kinases broadly and climbs far past the band. Mupirocin inhibits a bacterial enzyme and\n", + "has no target in a human cell, so it never leaves it. Berberine barely leaves it either in this cell line, and\n", + "the last section says why that is worth checking rather than resolving here.\n", + "\n", + "## Distance is not the same as phenotype\n", + "\n", + "A compound that kills cells also moves away from the controls, and the curve cannot tell the two apart.\n", + "{func}`~mantispy.tl.cytotoxicity` compares each group's cells per field against the controls', so the calls can\n", + "be read beside it." + ] }, { "cell_type": "code", @@ -483,10 +493,10 @@ "id": "f7852d4b", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T13:46:36.177911Z", - "iopub.status.busy": "2026-09-20T13:46:36.177792Z", - "iopub.status.idle": "2026-09-20T13:46:36.292074Z", - "shell.execute_reply": "2026-09-20T13:46:36.291659Z" + "iopub.execute_input": "2026-09-20T15:36:22.010520Z", + "iopub.status.busy": "2026-09-20T15:36:22.010396Z", + "iopub.status.idle": "2026-09-20T15:36:22.117960Z", + "shell.execute_reply": "2026-09-20T15:36:22.117287Z" } }, "outputs": [ @@ -529,10 +539,10 @@ "id": "defe9869", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T13:46:36.293973Z", - "iopub.status.busy": "2026-09-20T13:46:36.293843Z", - "iopub.status.idle": "2026-09-20T13:46:39.372899Z", - "shell.execute_reply": "2026-09-20T13:46:39.372327Z" + "iopub.execute_input": "2026-09-20T15:36:22.119353Z", + "iopub.status.busy": "2026-09-20T15:36:22.119222Z", + "iopub.status.idle": "2026-09-20T15:36:24.716422Z", + "shell.execute_reply": "2026-09-20T15:36:24.715838Z" } }, "outputs": [ @@ -540,7 +550,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_62964/2041206685.py:7: UserWarning: 280 of 289 groups have fewer than three rows, so their statistic is the median of one or two wells. Aggregate more replicates, or score activity with mt.tl.map(mode='activity'), which ranks replicate pairs and is built for screens with little replication.\n", + "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_35609/2041206685.py:7: UserWarning: 280 of 289 groups have fewer than three rows, so their statistic is the median of one or two wells. Aggregate more replicates, or score activity with mt.tl.map(mode='activity'), which ranks replicate pairs and is built for screens with little replication.\n", " mt.tl.hit_calling(u2os, groupby=\"Metadata_Perturbation\", use_rep=\"X_pca\", n_permutations=300)\n" ] }, @@ -548,12 +558,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "28 shared compounds, 64% called the same way in both\n" + "28 shared compounds, 61% called the same way in both\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -600,7 +610,24 @@ "cell_type": "markdown", "id": "41da084e", "metadata": {}, - "source": "The corners carry the biology. Staurosporine and actinomycin D inhibit kinases and transcription, and are called\nin both lines. Mupirocin and rifampicin are antibacterials with no mammalian target, and are called in neither.\nCycloheximide and berberine sit off the diagonal, the first called in HepaRG and the second in U2OS, which is a\nstatement about two cell types rather than a failure of the fit.\n\n## Summary\n\n- Use `hits_row_distance` as the response, not `hits_distance`. The group column is one number repeated over its\n wells.\n- `fit_ok` and `hitcall` answer different questions. Quote an EC50 only when `fit_ok` is `True`; use `hitcall` to\n decide whether anything happened at all.\n- The cutoff comes from the controls, so a screen with few or drifting controls gives a hit call you should not\n trust. {func}`~mantispy.pp.well_qc` and\n [8. Trustworthy features and design](08_trustworthy_features_and_design.ipynb) come first.\n- Read every call beside a cell count.\n- A call that holds in a second cell line is worth more than a small q-value in one." + "source": [ + "The corners carry the biology. Staurosporine, actinomycin D and cycloheximide inhibit kinases, transcription and\n", + "translation, and are called in both lines. Mupirocin and rifampicin are antibacterials with no mammalian target,\n", + "and are called in neither. Berberine sits off the diagonal, called in U2OS and not in HepaRG, which is a\n", + "statement about two cell types rather than a failure of the fit.\n", + "\n", + "## Summary\n", + "\n", + "- Use `hits_row_distance` as the response, not `hits_distance`. The group column is one number repeated over its\n", + " wells.\n", + "- `fit_ok` and `hitcall` answer different questions. Quote an EC50 only when `fit_ok` is `True`; use `hitcall` to\n", + " decide whether anything happened at all.\n", + "- The cutoff comes from the controls, so a screen with few or drifting controls gives a hit call you should not\n", + " trust. {func}`~mantispy.pp.well_qc` and\n", + " [8. Trustworthy features and design](08_trustworthy_features_and_design.ipynb) come first.\n", + "- Read every call beside a cell count.\n", + "- A call that holds in a second cell line is worth more than a small q-value in one." + ] } ], "metadata": { diff --git a/src/mantispy/_core/masks.py b/src/mantispy/_core/masks.py index 344c087..e1e1b32 100644 --- a/src/mantispy/_core/masks.py +++ b/src/mantispy/_core/masks.py @@ -89,3 +89,17 @@ def reference_mask(adata: AnnData, reference: str | None) -> np.ndarray: "a control row", " Fill them, or check that the platemap covers every well.", ) + + +def held_out_reference(adata: AnnData, is_control: np.ndarray, distance_key: str) -> np.ndarray: + """Narrow a control mask to the rows that did not fit the transform ``distance_key`` is measured in. + + A row that fitted the centroid and the covariance sits closer to the centroid than one that did not, so a scale read off every control comes out low. + :func:`~mantispy.tl.hit_calling` records the half it held out under the ``key_added`` the distance column already carries. + A missing column is not an error, on the same terms :func:`feature_mask` applies: the distance came from somewhere else, and every control is kept. + """ + column = f"{distance_key.removesuffix('_row_distance')}_reference_held_out" + if column not in adata.obs: + get_logger().debug("obs has no column %r; reading the control scale off every control row", column) + return is_control + return is_control & reference_mask(adata, column) diff --git a/src/mantispy/tl/_dose.py b/src/mantispy/tl/_dose.py index 6f0a2e8..d366775 100644 --- a/src/mantispy/tl/_dose.py +++ b/src/mantispy/tl/_dose.py @@ -13,7 +13,7 @@ from mantispy._core._stats import MAD_TO_SIGMA, benjamini_hochberg from mantispy._core.frames import as_frame from mantispy._core.logging import get_logger -from mantispy._core.masks import reference_mask +from mantispy._core.masks import held_out_reference, reference_mask from mantispy._core.mutation import inplace_or_copy #: Column order of the output table, so an empty result still carries its columns. @@ -278,7 +278,7 @@ def _baseline_and_cutoff( # and the trend need no controls, so only the hit call is left out. if reference is not None and not (reference == "negcon" and "Metadata_Control" not in adata.obs): values = as_frame(adata.obs)[response].to_numpy(dtype=float) - control = values[reference_mask(adata, reference)] + control = values[held_out_reference(adata, reference_mask(adata, reference), response)] control = control[np.isfinite(control)] if control.size < 2: @@ -341,7 +341,7 @@ def dose_response( min_doses: Distinct doses below which the curve is skipped and only the trend is reported. min_r_squared: Coefficient of determination a fit needs before it is marked ok. reference: Rows that set the baseline the response is read against and the spread the cutoff comes from. ``None`` leaves the hit call out unless ``cutoff`` is given. - cutoff: Response a curve has to clear to count as active. The default takes three times the controls' MAD, the ToxCast pipeline's ``3 * bmad``. + cutoff: Response a curve has to clear to count as active. The default takes three times the controls' MAD, the ToxCast pipeline's ``3 * bmad``, over the controls :func:`~mantispy.tl.hit_calling` held out of its own fit rather than over all of them. key_added: Name for the output table. copy: Return a modified copy instead of mutating in place. diff --git a/src/mantispy/tl/_hits.py b/src/mantispy/tl/_hits.py index 18b9531..6d00d82 100644 --- a/src/mantispy/tl/_hits.py +++ b/src/mantispy/tl/_hits.py @@ -109,6 +109,7 @@ def hit_calling( Also writes ``obs[key_added + "_row_distance"]``, each row's own distance from the control centroid rather than its group's. That is the column a dose-response fit wants: the group statistic is one number repeated over the group's rows, so the controls show no spread and nothing downstream can read a scale off them. Rows that fitted the centroid sit a little closer to it than the held-out controls do, by the same split the Notes describe. + Which rows those are is written to ``obs[key_added + "_reference_held_out"]``, true for the controls that did not fit, so that a scale taken from the controls can be taken from the honest half. Raises: ValueError: ``method`` is not one of ``METHODS``, or ``reference`` selects fewer than four rows. @@ -247,5 +248,6 @@ def hit_calling( # that reads a response per row, a dose-response fit above all, has no spread to work with. The row's own # distance is already computed here. adata.obs[f"{key_added}_row_distance"] = to_control + adata.obs[f"{key_added}_reference_held_out"] = held_out get_logger().info("hit_calling(%s) called %d of %d groups", method, int(table["is_hit"].sum()), len(table)) return None diff --git a/tests/test_tl_dose.py b/tests/test_tl_dose.py index 2e49efb..3745c8a 100644 --- a/tests/test_tl_dose.py +++ b/tests/test_tl_dose.py @@ -181,6 +181,31 @@ def _dosed_wells(conc, resp, controls=()): return adata +def test_the_cutoff_comes_from_the_controls_that_did_not_fit_the_transform(): + """Regression for #83. + + The controls that fitted the centroid and covariance sit closer to the centroid they placed, + so their spread is narrower than the held-out half's. Pooling them shrinks the MAD, which is + the whole cutoff, and every curve then clears a bar that is too low. + """ + conc = np.array([0.03, 0.1, 0.3, 1.0, 3.0, 10.0, 30.0, 100.0]) + resp = np.array([0.0, 0.2, 0.1, 0.4, 0.7, 0.9, 0.6, 1.2]) + # Two halves of one control population, one measured against a centroid it helped place. + fitted, held_out = np.linspace(-0.1, 0.1, 12), np.linspace(-1.0, 1.0, 12) + + adata = _dosed_wells(conc, resp, controls=np.concatenate([fitted, held_out])) + adata.obs["hits_reference_held_out"] = np.arange(adata.n_obs) >= adata.n_obs - len(held_out) + + mt.tl.dose_response(adata, min_doses=4) + honest = float(adata.uns["mantispy"]["dose_response"].set_index("compound").loc["c", "hitcall"]) + + del adata.obs["hits_reference_held_out"] + mt.tl.dose_response(adata, min_doses=4) + pooled = float(adata.uns["mantispy"]["dose_response"].set_index("compound").loc["c", "hitcall"]) + + assert honest < 0.5 < pooled, "the narrow half of the controls must not set the bar the curve clears" + + def _one_compound(conc, resp, cutoff): adata = _dosed_wells(conc, resp) mt.tl.dose_response(adata, min_doses=4, reference=None, cutoff=cutoff) diff --git a/tests/test_tl_hits.py b/tests/test_tl_hits.py index c3c01b4..091e971 100644 --- a/tests/test_tl_hits.py +++ b/tests/test_tl_hits.py @@ -44,6 +44,17 @@ def test_hit_calling_corrects_and_joins_back(scored): assert np.isfinite(scored.obs["hits_distance"]).all() +def test_the_controls_that_fitted_the_transform_are_marked(scored): + """Regression for #83: anything reading a scale off the controls needs to know which half is honest.""" + mt.tl.hit_calling(scored, n_permutations=200, seed=0) + held_out = scored.obs["hits_reference_held_out"].to_numpy(dtype=bool) + is_control = scored.obs["Metadata_Control"].to_numpy(dtype=bool) + + assert not held_out[~is_control].any(), "a treated row was never a candidate for the reference" + # The split halves the controls, and the other half is the one that placed the centroid. + assert 0 < held_out.sum() < is_control.sum() + + def test_hit_calling_is_reproducible(scored): mt.tl.hit_calling(scored, n_permutations=200, seed=3) first = scored.uns["mantispy"]["hits"]["pvalue"].to_numpy() From 8ba48d792391d4d0dd831cb8ef0b49e829c2f9fd Mon Sep 17 00:00:00 2001 From: anon Date: Sun, 20 Sep 2026 17:57:22 +0200 Subject: [PATCH 2/5] Point cytotoxicity at the per-row distance it documents distance_key defaulted to hits_distance, the group statistic broadcast over its rows, so the median cytotoxicity takes returned the value it was handed and no genuinely per-row response could be given. It now defaults to hits_row_distance and compares against the held-out controls. The DMSO distance in tutorial 8's prose was already stale against main. Closes #84 --- .../08_trustworthy_features_and_design.ipynb | 108 +++++++++--------- src/mantispy/tl/_design.py | 10 +- tests/test_tl_design.py | 31 ++++- 3 files changed, 86 insertions(+), 63 deletions(-) diff --git a/docs/tutorials/08_trustworthy_features_and_design.ipynb b/docs/tutorials/08_trustworthy_features_and_design.ipynb index cab621e..5f686cf 100644 --- a/docs/tutorials/08_trustworthy_features_and_design.ipynb +++ b/docs/tutorials/08_trustworthy_features_and_design.ipynb @@ -24,10 +24,10 @@ "id": "c01", "metadata": { "execution": { - "iopub.execute_input": "2026-09-18T13:49:35.234651Z", - "iopub.status.busy": "2026-09-18T13:49:35.234469Z", - "iopub.status.idle": "2026-09-18T13:49:38.563866Z", - "shell.execute_reply": "2026-09-18T13:49:38.562249Z" + "iopub.execute_input": "2026-09-20T15:37:10.716751Z", + "iopub.status.busy": "2026-09-20T15:37:10.716639Z", + "iopub.status.idle": "2026-09-20T15:37:14.554350Z", + "shell.execute_reply": "2026-09-20T15:37:14.553770Z" } }, "outputs": [], @@ -52,10 +52,10 @@ "id": "c03", "metadata": { "execution": { - "iopub.execute_input": "2026-09-18T13:49:38.566512Z", - "iopub.status.busy": "2026-09-18T13:49:38.565694Z", - "iopub.status.idle": "2026-09-18T13:49:39.064340Z", - "shell.execute_reply": "2026-09-18T13:49:39.062764Z" + "iopub.execute_input": "2026-09-20T15:37:14.556431Z", + "iopub.status.busy": "2026-09-20T15:37:14.556163Z", + "iopub.status.idle": "2026-09-20T15:37:15.881238Z", + "shell.execute_reply": "2026-09-20T15:37:15.880646Z" } }, "outputs": [ @@ -63,7 +63,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/tim.treis/Library/Application Support/hatch/env/virtual/mantispy/IN9GYQN4/tutorials/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + "/Users/tim.treis/Library/Application Support/hatch/env/virtual/mantispy/n7Ku6oea/tutorials/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n" ] }, @@ -71,7 +71,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_4635/3580903452.py:2: UserWarning: 2 of 473 features have no spread in at least one group of 'Metadata_Plate' among the rows selected by reference='negcon'. Adding epsilon=1e-18 to their scale multiplies them by up to 1e18, so they dominate every distance downstream. They are flagged in var['degenerate_scale']; drop them with adata = adata[:, ~adata.var['degenerate_scale']].copy(). Feature selection does not catch a feature that varies across a plate but is constant among its control wells.\n", + "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_38575/3580903452.py:2: UserWarning: 2 of 473 features have no spread in at least one group of 'Metadata_Plate' among the rows selected by reference='negcon'. Adding epsilon=1e-18 to their scale multiplies them by up to 1e18, so they dominate every distance downstream. They are flagged in var['degenerate_scale']; drop them with adata = adata[:, ~adata.var['degenerate_scale']].copy(). Feature selection does not catch a feature that varies across a plate but is constant among its control wells.\n", " mt.pp.normalize(adata, method=\"mad_robustize\", by=\"Metadata_Plate\", reference=\"negcon\")\n" ] }, @@ -118,10 +118,10 @@ "id": "c05", "metadata": { "execution": { - "iopub.execute_input": "2026-09-18T13:49:39.066689Z", - "iopub.status.busy": "2026-09-18T13:49:39.066559Z", - "iopub.status.idle": "2026-09-18T13:49:39.081318Z", - "shell.execute_reply": "2026-09-18T13:49:39.080418Z" + "iopub.execute_input": "2026-09-20T15:37:15.882818Z", + "iopub.status.busy": "2026-09-20T15:37:15.882688Z", + "iopub.status.idle": "2026-09-20T15:37:15.896422Z", + "shell.execute_reply": "2026-09-20T15:37:15.895909Z" } }, "outputs": [ @@ -168,10 +168,10 @@ "id": "c07", "metadata": { "execution": { - "iopub.execute_input": "2026-09-18T13:49:39.083879Z", - "iopub.status.busy": "2026-09-18T13:49:39.083648Z", - "iopub.status.idle": "2026-09-18T13:49:40.996320Z", - "shell.execute_reply": "2026-09-18T13:49:40.994825Z" + "iopub.execute_input": "2026-09-20T15:37:15.897998Z", + "iopub.status.busy": "2026-09-20T15:37:15.897866Z", + "iopub.status.idle": "2026-09-20T15:37:17.739824Z", + "shell.execute_reply": "2026-09-20T15:37:17.739182Z" } }, "outputs": [ @@ -222,10 +222,10 @@ "id": "c09", "metadata": { "execution": { - "iopub.execute_input": "2026-09-18T13:49:40.998535Z", - "iopub.status.busy": "2026-09-18T13:49:40.998382Z", - "iopub.status.idle": "2026-09-18T13:49:41.072122Z", - "shell.execute_reply": "2026-09-18T13:49:41.071425Z" + "iopub.execute_input": "2026-09-20T15:37:17.741310Z", + "iopub.status.busy": "2026-09-20T15:37:17.741190Z", + "iopub.status.idle": "2026-09-20T15:37:17.825751Z", + "shell.execute_reply": "2026-09-20T15:37:17.825157Z" } }, "outputs": [ @@ -282,10 +282,10 @@ "id": "c11", "metadata": { "execution": { - "iopub.execute_input": "2026-09-18T13:49:41.073834Z", - "iopub.status.busy": "2026-09-18T13:49:41.073687Z", - "iopub.status.idle": "2026-09-18T13:49:41.600045Z", - "shell.execute_reply": "2026-09-18T13:49:41.599335Z" + "iopub.execute_input": "2026-09-20T15:37:17.827257Z", + "iopub.status.busy": "2026-09-20T15:37:17.827127Z", + "iopub.status.idle": "2026-09-20T15:37:18.319612Z", + "shell.execute_reply": "2026-09-20T15:37:18.319113Z" } }, "outputs": [ @@ -342,10 +342,10 @@ "id": "c13", "metadata": { "execution": { - "iopub.execute_input": "2026-09-18T13:49:41.601625Z", - "iopub.status.busy": "2026-09-18T13:49:41.601459Z", - "iopub.status.idle": "2026-09-18T13:49:42.736582Z", - "shell.execute_reply": "2026-09-18T13:49:42.735754Z" + "iopub.execute_input": "2026-09-20T15:37:18.321116Z", + "iopub.status.busy": "2026-09-20T15:37:18.320999Z", + "iopub.status.idle": "2026-09-20T15:37:19.197685Z", + "shell.execute_reply": "2026-09-20T15:37:19.197067Z" } }, "outputs": [ @@ -417,10 +417,10 @@ "id": "c14", "metadata": { "execution": { - "iopub.execute_input": "2026-09-18T13:49:42.738843Z", - "iopub.status.busy": "2026-09-18T13:49:42.738676Z", - "iopub.status.idle": "2026-09-18T13:49:42.817022Z", - "shell.execute_reply": "2026-09-18T13:49:42.816246Z" + "iopub.execute_input": "2026-09-20T15:37:19.199072Z", + "iopub.status.busy": "2026-09-20T15:37:19.198943Z", + "iopub.status.idle": "2026-09-20T15:37:19.276958Z", + "shell.execute_reply": "2026-09-20T15:37:19.276346Z" } }, "outputs": [ @@ -471,10 +471,10 @@ "id": "c16", "metadata": { "execution": { - "iopub.execute_input": "2026-09-18T13:49:42.818891Z", - "iopub.status.busy": "2026-09-18T13:49:42.818684Z", - "iopub.status.idle": "2026-09-18T13:49:42.955991Z", - "shell.execute_reply": "2026-09-18T13:49:42.953825Z" + "iopub.execute_input": "2026-09-20T15:37:19.278897Z", + "iopub.status.busy": "2026-09-20T15:37:19.278758Z", + "iopub.status.idle": "2026-09-20T15:37:19.409715Z", + "shell.execute_reply": "2026-09-20T15:37:19.409075Z" } }, "outputs": [ @@ -482,7 +482,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_4635/2037011891.py:16: UserWarning: the covariance is estimated from 24 of 48 reference rows (half the controls) for 25 features, so it is singular and the Mahalanobis distances are dominated by the regularization. Reduce the features with mt.pp.feature_select, or score a PCA representation with use_rep='X_pca'.\n", + "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_38575/2037011891.py:16: UserWarning: the covariance is estimated from 24 of 48 reference rows (half the controls) for 25 features, so it is singular and the Mahalanobis distances are dominated by the regularization. Reduce the features with mt.pp.feature_select, or score a PCA representation with use_rep='X_pca'.\n", " mt.tl.hit_calling(wells, n_permutations=500)\n" ] }, @@ -517,8 +517,8 @@ " \n", " 0\n", " DMSO\n", - " 270.174\n", - " 0.419\n", + " 284.522\n", + " 0.130\n", " False\n", " \n", " \n", @@ -548,7 +548,7 @@ ], "text/plain": [ " group distance qvalue is_hit\n", - "0 DMSO 270.174 0.419 False\n", + "0 DMSO 284.522 0.130 False\n", "1 pert00 2831.307 0.003 True\n", "2 pert01 2414.603 0.003 True\n", "3 pert02 661.269 0.003 True" @@ -584,7 +584,7 @@ "id": "c17", "metadata": {}, "source": [ - "pert02 has no morphology effect left and is still called a hit, at 661 against 270 for the\n", + "pert02 has no morphology effect left and is still called a hit, at 661 against 285 for the\n", "controls. Hit calling cannot tell the difference, because nothing in the profile says why it\n", "moved. (The covariance warning is the one explained in [tutorial\n", "5](05_hits_and_effects.ipynb): 24 control rows for 25 features. It affects the scale of these\n", @@ -597,10 +597,10 @@ "id": "c18", "metadata": { "execution": { - "iopub.execute_input": "2026-09-18T13:49:42.958516Z", - "iopub.status.busy": "2026-09-18T13:49:42.958345Z", - "iopub.status.idle": "2026-09-18T13:49:42.967517Z", - "shell.execute_reply": "2026-09-18T13:49:42.966887Z" + "iopub.execute_input": "2026-09-20T15:37:19.411314Z", + "iopub.status.busy": "2026-09-20T15:37:19.411198Z", + "iopub.status.idle": "2026-09-20T15:37:19.418447Z", + "shell.execute_reply": "2026-09-20T15:37:19.417979Z" } }, "outputs": [ @@ -638,7 +638,7 @@ " DMSO\n", " 48\n", " 1.0\n", - " 270.174\n", + " 78.961\n", " False\n", " \n", " \n", @@ -671,7 +671,7 @@ ], "text/plain": [ " group n_obs viability distance suspect\n", - "0 DMSO 48 1.0 270.174 False\n", + "0 DMSO 48 1.0 78.961 False\n", "1 pert00 48 1.0 2831.307 False\n", "2 pert01 48 1.0 2414.603 False\n", "3 pert02 48 0.2 661.269 True" @@ -693,16 +693,16 @@ "id": "c19", "metadata": { "execution": { - "iopub.execute_input": "2026-09-18T13:49:42.969308Z", - "iopub.status.busy": "2026-09-18T13:49:42.969169Z", - "iopub.status.idle": "2026-09-18T13:49:43.054838Z", - "shell.execute_reply": "2026-09-18T13:49:43.053579Z" + "iopub.execute_input": "2026-09-20T15:37:19.420088Z", + "iopub.status.busy": "2026-09-20T15:37:19.419966Z", + "iopub.status.idle": "2026-09-20T15:37:19.499758Z", + "shell.execute_reply": "2026-09-20T15:37:19.499180Z" } }, "outputs": [ { "data": { - "image/png": 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dOXKMPQMHDtS0mTeMFCAiIvJ3Xq/2R1X6008/rYEdi74kNi++CcehxI7aAEBpHH0AzPsm3DeXhHXkGHvQxMDOPEREFGhS+ULgh9WrV1vmjDehL6L1ynFw+PBhHaZXvnx5yxSzWKzGrAmAmJgYWbNmjTRq1MjhY4iInIUOVejs5645Q4gCvrc/esdjCN+RI0d07XfrwF+iRAkdP4tONI899piuVV+uXDnt9Ddy5EgdU4+V58xSOVaRQxDHynU1a9bUuQOwoMvu3bst88A7coy7elESERF5g6NxymvBHwlr1qyZ3ccwaYY50Q86+SFQo1c+FqfB0rHIDNhOqrFlyxaZMmWK9urHED6cw3quAEePSQqDPxFZQ80kaiNRYMHqmETe5vPB3x8x+BORNS7pS/4ap3yitz8REREFUW9/IiKiYLRyb5SMX3NYjl+KkSIRYdK7YQlpXD6PR/43S/5EREReCPyvzd8pB8/dkNj7cbrFfez3BAZ/IiIXoeMxFvfiqn7kLJT4sQ6s2ekOWywMO2HtYfEEVvsTEbkoIiJCunXrxvePnIaqftve9uh+f+xijHgCS/5EREQehjZ+lPytoeRfNEeYR/4/gz8R0UMM9Rs6dKhuiZyBzn1mVb/8d4uS/9sNSoonMPgTERF5GHr1T+tYWUrnziShaVLpdlrHKtK4vOMTzz0MtvkTERF5KQPgqaF9tljyJyIiCjIM/kREREGG1f5ERC7CCqNvvvkmV/kkv8PgT0Tk6g9omjSSLVs2vn/kd1jtT0TkoitXrsjixYt1S+RPGPyJiFx0584d+fvvv3VL5E8Y/ImIiIIMgz8REVGQcVvwj4uLc9epiIiIyNeC/7Fjx2TIkCGW+x9++KGkT59eSpUqJQcOHHBn+oiIfFZ4eLjUrVtXt0QBH/z79OkjVatWtWQEPv30U5k9e7bUqVNH+vXr5+40EhH5pEyZMkm9evV0SxTw4/w3btwo33zzjf69atUqefbZZ6VDhw7SuHFjKVnSMysSERF5W2xsrERGRkqBAgUkNDTU28khStmSf+rUqSU6Olr/XrlypTRo0MDyWIi5PiERUYC7fPmyFoSwJQr4kv8zzzwj7du3l+rVq8uaNWtk6tSpun/9+vVSv359d6eRiIiIvF3ynzJlilSuXFmOHDki3377reTNm1f3r1ixIl5HQCIiIgqQkn+WLFlk0qRJCfaj0x8REREFSPC/f/++4ydNw/WCiCjwof9T1qxZdUvkT0IMwzAcOtCJjnwOntLvXL9+XR555BG5du0al/AkIiK/jVMOF9HXrVvnrrQRERGRFzkc/DGRBRER/c/58+dl3rx50qlTJ8mVKxffGvIbD9U4j2Usjx8/rtX8RYsW1Sl+iYiCBdY0uXXrFtc2oeAY6nf37l0ZMGCA9vovW7aslCtXTv/Gvnv37rk/lUREROTdkv+gQYNk4cKFMm3aNKlRo4Z2Bty6dasMHjxYc8Bjx451XwqJiIjI+8H/66+/liVLlmjgN2FFP9xatWrF4E9ERBRo1f5XrlyR0qVLJ9iPfZzjmoiCRfbs2eWVV17RLVHAB/8KFSroFL+2Jk+eLBUrVnRHuoiIfF66dOl0RT9siQK+2n/MmDHSrFkz+eGHH6RatWq67/fff5d9+/bJjz/+6O40EhH57IQq6O9Us2ZNTvxFgV/yxxK++/fvlyeffFIOHz6sC/zUrl1b91kv70tEFMhiYmJk27ZtuiUK+JI/Vu7Dbfz48e5PEREREfleyX/06NEcz09ERBRMwb9SpUqyefNm96eGiIiIfLPa//nnn5d27dpJnz59dIY/256ujRs3dlf6iIh8VsaMGeXxxx/XLVFALulrLU2apPMM9+/fl0DEJX2JiCiolvQNhuBOROQMrGVy6dIliYiIkLRp0/LNo8Bu88+dO7dLjxERBRIE/hkzZuiWKOCDP9awTiwXzOl9iYiIfJtT1f5YzMfe34DV/DDZRbFixdyXOiIiIvJu8O/YsaPdvwHtXYULF5aJEye6L3VERETk3eB/8+ZN3SLInzhxwv2pISLyIyEhITrUGVuigB/qF6w41I+IiIJ2qB8cOnRI2/jtdfDr3bu3q6clIiKiFOZS8P/yyy+lV69ekitXLsmaNavLwf/GjRsya9Ys+e2333TiIKwS2K1btwQzBu7YsUOmTp2qowwqVKgg/fr1k+zZs6fIMUREjrp48aJ899138uKLL0qOHDn4xlFgD/UbPny4fPXVV3LmzBnZu3dvgpsjMDoAARh9B1544QVp1KiRjBs3Tpo2bSoPHjywHIeMQa1atSRTpkzy8ssvW+5bL6HprmOIiJyd8AwZAE58Rn7HcEHmzJmNmJgY42HExcUZly9fjrdvx44d6H9gbNu2zbKvbt26RsuWLS33r1+/boSHhxvjx493+zHJuXbtmqYPWyKis2fPGkOGDNEtkS9wNE65VPKvXLmy7Ny586EyHegda9tkYFbBm6Xx27dvy6ZNm6RFixaWY1Byb9CggaxevdqtxxAREQULl9r8mzRpoqv6DRgwQIoXL55gmIurq/qNHTtW58iuXr263o+MjNTmgfz588c7DvfXrVvn1mPsiY2N1Zt1L0oiIqKgDP7vv/++brGkrz2utH/NnDlTpk+fLkuXLpWwsDDdd/fuXd1myJAh3rFYPtN8zF3H2DNq1CgZOnSo06+FiIIDai9RELLX8ZnIl7lU7Y/gntTNWfPnz9fRA/PmzZNmzZpZ9ptfKNvhhNHR0ZbH3HWMPQMHDtSxkuYNNQhERKb06dNLqVKldEsU8MHfnRYsWKDD+zDkr3379vEey5cvnw6fse1fgPuPPfaYW4+xJzQ0VCdJsL4REVnPeor+RObsp0QBH/wxHA+L+6BqfOTIkfq39RA9RyxcuFC6du2qgd92rQBT586dtUngwoULev+nn36S3bt36353H0NE5AzMVfLrr7/qlijg2/yPHz+u1fNHjx6VIkWKaIe/Y8eOaee/FStW6L7koBod4+0xDeHs2bP1ZnrnnXe0UyGgzX3fvn1SokQJXTFw//798sknn+gYfZO7jiEiIgoGLs3t37x5c92iJJ0zZ079GyVqVN8jI7Bs2bJkz3Hv3j3ZsGGD3cfKli0refPmTTCdMGbmK1OmjI4IsMddxySGc/sTkbWoqCiZMWOG9OzZU/LkycM3h7zO0TjlUvAPDw+XgwcPalu6Ncz4h84vgdr+xeBPRNYY/Mlf45RLbf4o3dtr30dP/1SpvN6HkIjII9DLHzWV7O1P/salSP3MM89I9+7d5dSpU5Z9J0+elFdeeUUfIyIKBhgqjEV9OM6fgiL4T5w4UasUChcurG3zuKGTH6blnTBhgvtTSUTkg1ADimpWZ0c6Efllb38E+23btmmHPfSgRzMAqr7q1q2bYKpfIqJAhY7O7PBHQRP8AUG+Xr16eiMiIqIAr/bHNLcYI28L+zgFLhERUQAG/zfeeENKly6dYD+G+b399tvuSBcRERH5UvDHdJb169dPsB/78BgREREFWPDHkrtHjhxJsP/w4cO6GA4RUTDInTu3DBo0SLdEAR/8W7ZsKT169NCpck2Y8Q/78BgRUTBAx+c0adJwlBMFR/AfPXq0ZR1r5Hhz5cqlfQBQIzBmzBj3p5KIyAdFR0fLnDlzdEsU8EP9MG8w1rBev3697Ny5U3O9lSpV0mF/HOdPRMHi7t27OrsptkRBM84fHfzsdfwjIiIi38VVeIiIiIIMgz8REVGQYfAnInIR+j81b95ct0RB0eZPRBTsMmbMKJUrV/Z2Mog8V/I/duyYjBgxQrp162bZt2LFComNjXX1lEREfuXWrVs64glbooAP/ps3b5aKFSvK2rVrZdasWZb9WOJ32rRp7kwfEZHPunbtmixfvly3RAEf/N999135/PPPE8zj37VrV/niiy/clTYiIiLyleC/Z88ead++vf5tPalPoUKF5Pjx4+5LHREREflG8Ecnl4sXLybYv2vXLp3ql4iIiAIs+Ldq1Ur69+8vMTExlpL/n3/+qQv7vPjii+5OIxGRT0qXLp3WeGJL5E9CDMMwnH3S9evX5bnnnpNt27Zp7/6IiAi5dOmSzu2PHv9Y4CcQ4XVjPC8692TOnNnbySEiInIpTrk0zh8nxKI+WNxnx44dEhcXp2NdubAPEQUTlJ0ePHggqVOn5qJmFPgl/2DFkj8RWYuKipIZM2ZIz549JU+ePHxzKLBL/nDo0CGt9r98+XKCx3r37u3qaYmIiCiFuRT8v/zyS+nVq5f27M+aNWuCxxn8iYiIAiz4Dx8+XL766ivp0qWL+1NEREREvjfU7+rVq9KmTRv3p4aIiIh8M/ijZz8WsyAiCmY5c+aUPn366JYoIKv9V65cafm7SZMm0q5dOxkwYIAUL148wRCXxo0buzeVREQ+CEP8OOcHBfRQvzRpHO8ecP/+fQlEHOpHRNauXLkia9askYYNG9rt/Ezkq3EqlTMB3dEbEVEwuHPnjvzzzz+6JQr4Nv/cuXO79BgRERH5afA/f/683f337t2zO+kPERER+ek4/yVLltj9GzC/P2b8K1asmPtSR0RERN4N/h07drT7N6RNm1YKFy4sEydOdF/qiIh8WKZMmeSpp57SLVHABv+bN2/qFkH+xIkTKZUmIiK/EB4eLrVr1/Z2Mog80+bPwE9E9P+9/Q8ePMje/hQcwZ+IiP5/nP/ChQt1S+RPGPyJiIiCDIM/ERFRkGHwJyIiCjJO9fa3hml8T548abet6/HHH3/YdBER+TyseZIjRw6n1j4h8quFfaxt3LhROnToIKdPn7b7uAun9Atc2IeIiIJqYR9rr776qrz44oty/PhxLfnb3oiIiCjASv7p06eXS5cu6QQXwYQlfyKydu7cOZk9e7Z07dqVi5pR4Jf8K1SoIPv373+Y9BER+T2Une7evRuwTZ0UuFzqpTJ+/Hjp1q2bvPXWW7qQT0hISLzH69Wr59T5oqKi5OjRo5qpQI7FGvbjcWthYWFSqVKlBOeJjIzUFQdLliyZaI7HkWOIiIgCmUvBHwH5wIED0qNHD7uPO5oL3rFjh4wePVo7EF68eFHWrVuXIOMwduxYWbRokZQuXdqyr2jRojJv3rx4U2yiA+LPP/8shQoV0lEIY8aMkTfffNOpY4iIiIKBS8F/0KBB8u6770rv3r0lS5YsLv/zvXv3Stu2bTXAI6AnBhkCZAASM3ToUNm+fbtmSvLkyaPLDbds2VKqVasm1atXd/gYIiKiYOBSm//Vq1dl4MCBEhERoeNbbW+O6tKli44awHLASUGpfefOnRq44+LiEjyODjfdu3fXoA4tWrSQ8uXL635njiEicgZ+A3v27KlbooAv+aNt/q+//pInnnhCPGHVqlVy6tQp7VkbGhoq06dPl6ZNm+pjZ8+e1Tb8KlWqxHsOSvS7du1y+Bh7YmNj9Wbdi5KIyISCi1mgIAr44N+gQQNp06aNDBgwQIoXL56gw1/jxo3dlT555plnZNiwYZIzZ0558OCB1jigtmDPnj3a2fDy5ct6XPbs2eM9D/fNxxw5xp5Ro0ZpcwERkT0YTrV582Z58sknE3RWJgq44I+gCH369El06l93Qbu8KXXq1Pq/Z8yYIcuWLdP/bzYZoGnA2u3btyVdunT6tyPH2IOMRt++feOV/AsUKOCmV0ZE/u7WrVvacbly5coM/hT4wd+dwd1ZyACgxH7mzBm9j2CcKlUqy30T7hcsWNDhY+xBEwNuREREgcSnV/XDkEGUzq0dPnxYh+mhsx5kzJhR+x6gJsAUExMja9askUaNGjl8DBERUbBweSkqtL8vX75cZ/pDkC5btqw0b95cS+aOunDhghw6dEjH+MPff/+towVQGsft3r172kkPvfTLlSunnf5GjhypVWwvvfSS5TzDhw/XII5q+po1a8qkSZO0jwB64TpzDBERUTBwaW5/LOjTrFkzHXpXpEgR7fB37Ngx7fy3YsUK3ecITLgzYsSIBPtfeeUVvQFm90OgRq/8rFmzSu3atTUzYDs8cMuWLTJlyhTt1Y/RCO+9916CubYdOSYpnNufiGx/E7Zu3aoFCs4YSr7A0TjlUvBHCR9mzpyppWezFI8pf5ERsK5eDyQM/kREFLTBH6v5HTx4UPLly5egA12pUqXk5s2bEogY/InIGhb1QU1irly5khw5RBQQq/qhdI82f3ujANCrnogoGERHR8usWbN0S+RPUrk68Q7a3dEBz4Qe+Ginx2NEREQUYMF/4sSJWqVQuHBhyZs3r97QyQ/D5yZMmOD+VBIREZF3h/oh2G/btk02bNgg+/bt02YADPWrW7dugql+iYiIKACCf6VKlXToHZbaxY2IKBihjxMmEWNfJ/I3LvX2z5Ili7b3B9u4Vvb2JyKioO3t36JFCx3jT0REREFS7Y817rHa3bfffqtt/bbjW6dNm+au9BER+SxMbrZw4UJp166dZcIzooAN/phz/4UXXrBUMRARBSPMd3LlyhW7854QBUTwxwp4DRs21L8XLVqUkmkiIiKiFORwm7/10rcREREplR4iIiLyleCfLVs2XbkPOJUlERFREFT7v/TSS1K+fHnJkyeP3sfyvYk5cuSIe1JHROTDUCjq0KGDbokCMvhPnjxZWrdurYG9R48e0q9fv5RNGRGRjwsNDU2yIEQUEL39zRn9MLXva6+9lnKpIiLyAzdu3JA///xTqlSpIpkyZfJ2cogc5tIkP1999ZUrTyMiCig3b97UNU6wJQr44E9ERET+i8GfiIgoyDD4ExERBRkGfyIiF6VPn14qVKigW6KAD/5YBRiL91StWlWyZ89u2T9w4EA5c+aMO9NHROSzsmbNKq1atdItUcAH/wkTJsjIkSPl5ZdflsuXL1v2lyhRQoYPH+7O9BER+az79+/rbyC2RAEf/KdOnSrfffedvPXWWwnm///+++/dlTYiIp928eJFmTRpkm6JAj74nzx5UipWrKh/h4SEWPaHh4fLtWvX3Jc6IiIi8o3gX7BgQdm1a1eC4P/DDz9I6dKl3Zc6IiIi8u70vqbevXtLp06dZPTo0Xp/y5YtsnLlShk3bpx88cUX7k4jEREReTv4/+tf/5LY2Fjp1auXxMXFyZNPPqm9XdEJsEuXLu5MHxEREblZiIFxey5C4Ef7P7aFCxeW1KlTSyC7fv26PPLII9qvIXPmzN5ODhERkUtxyqWSvylVqlRSpEiRhzkFERER+UOHv9WrV0u3bt0S7Me+X375xR3pIiLyeZcuXZKZM2fqlijgg/+7776bYIw/YN97773njnQREfm8e/fuyenTp3VLFPDB/8CBA3ar+7Hvn3/+cUe6iIiIyJeCP4L8qlWrEuz/+eefdQ4AIiIi8l0udfhD9X6PHj3k+PHjUqdOHV3oZ+PGjTrUb9SoUe5PJREREXk3+GN8/82bNzXQDxgwQPdhnP/gwYN1DgAiomCQJUsWadmypW6Jgmac/4MHD+TEiRM6xW+hQoU4zp+IiCjQx/ljUp9ixYo9zCmIiPxWTEyM7Nu3T8qVKydhYWHeTg6Rw1wK/nfu3JEpU6bonP5Yy9rW+vXrXTktEZHflbLQ0blAgQIM/hT4wf/111+XH3/8UV544QUpW7as+1NFREREvhX8sXTvhg0bpEKFCu5PEREREfneOP/06dPrQj5EREQUJMG/adOmMn/+fPenhojIj6RLl047PWNLFPDV/ujhivH8ixYtkuLFi+tQP2vTpk1zV/qIiHxW9uzZpWPHjt5OBpFngj8WsUBnP4iOjnblFEREfi8uLk5/D9OmTatLnBMFdPBHiZ+IKNidP39eZsyYIT179pQ8efJ4OzlEDmNWlYiIKMi4PMMfJvrZvn27nDp1Su7fvx/vsS5durgjbUREROQrwf/vv/+W5s2b6+x+N27c0E4vZtt/3rx5GfyJiIgCrdq/T58+0qZNG104AC5duiRHjhyRJ554Qmf/IyIiogBb1Q/L9yLYo8SPHq5oAsA41wMHDsgzzzwjJ0+edKoWYfr06frccePGyaOPPprgmB07dsjUqVO1cw1mFezXr5/+75Q4xh2rJRFRcMDKpvj9w8RnWOiMyNscjVMulfyvXr1qCZo5cuSQs2fP6t/58uXTwOqoYcOGSfv27fVca9eulStXriQ45rfffpNatWpJpkyZ5OWXX7bcx1wD7j6GiMgZCPhYzY+Bn/yO4QLrp7Vo0cLo1KmT8ccffxivv/668dhjjzl8nvPnz+s2MjJSz7lu3boEx9StW9do2bKl5f7169eN8PBwY/z48W4/JjnXrl3TdGJLRBQdHW0sWLBAt0S+wNE45VLJf8CAAZa/P/nkE9m5c6dUrVpVli5dqkv9OipnzpxJPn779m3ZtGmTtGjRwrIPJfcGDRrI6tWr3XoMEZGzYmNj5dChQ7ol8icuBX/rIFqiRAltt0ev/8jISLfOcoXzYQat/Pnzx9uP+ydOnHDrMfbgC432E+sbERGRv3MpUtesWTPBvvDw8EQfc9Xdu3d1myFDhnj7M2bMaHnMXcfYM2rUKO04Yd4KFCjgltdFREQUMDP8oXehmQlwB4wqAMwnYA1zCpiPuesYewYOHKivybyhBoGIiCioJvmxnrnPdhY/VKuj+r969epuSxxGD2A0AfoUNGvWzLLf7GPgzmPsCQ0N1RsRkT3oO/T000/rlihgS/6Yxtecytf827xhqAv6AsyfP9+tCezcubPMnDlTLly4oPd/+ukn2b17t+539zFERM5ATSeaOt1Z40nkEa4MJXj77bcNd1i1apXRoEED48knn9ShCZUrV9b7c+fOtRwTExNjNGnSxMicObNRqVIlI3369MYnn3wS7zzuOiY5HOpHRNZu3bpl7N27V7dEvsDROOXSDH9Yv3rbtm1Su3Ztvf/HH3/oLH3FihWT/v37S5o0jrUmREVFyb59+xLsL1q0qN6sYTgNJhAqU6aMRERE2D2fu45JDGf4IyLb3zAu6Uu+xNE45dLCPiNGjNAAj+B/8+ZNadq0qTz22GM6Sx/+MXrJOwLrXzu6BnbJkiX15oljiIiIAplLvf3nzp1r6fD3yy+/SOHChXW7fPlyWbBggbvTSERERN4O/ug0lyVLFv173bp1lh70qPbHCn9EREQUYMG/XLlyMnHiRNmzZ48sXLhQGjdurPv/+ecfKVu2rLvTSETkk9D8mTt3bof7ORH5Cpc6/KG036pVK13dr0OHDpbhfVgtD0v6duzYUQIRO/wREVEgxCmXgr+5jjVOni1bNss+lPzRiz4kJEQCEYM/EREFQpxyeXpfTOpjHfgBVf6BGviJiOwN9Rs+fLhuifyJww1VZlU+qviTq9Z39yx/RES+CrWgRAEb/K07tLBzCxERURAE/zlz5tj9m4iIiIJ4SV8iIiIKoJJ/69atHT7pokWLXE0PEZHfwPogvXr1kqxZs3o7KUQpU/LHRBbmDWvcf//997ooT4YMGfSGv7Evffr0zqWAiMhPpU2bVnLmzKlbooAs+U+ePNnyN3r7Dx48WIYNG2YZ2ofpAj788EM5ceJEyqSUiMjHYKKzjRs3Sp06dSxTnhP5A5fmpMQiPgcPHow3ph9/9+3bVyf5ISIKBrdv35Zdu3ZJ1apVGfwp8Dv83blzRw4cOJBgP/bhMSIiIgqwkn+nTp20AyCq+ZHjRZX/jh07tBmgc+fO7k8lEREReTf4f/bZZ5I9e3Z59913df5gQHtX7969ZdCgQe5LHREREbmdywv7AJ569uxZ/Ttv3rwBP68/F/YhItvfhO3bt0u1atWSXESFyNfi1EMtQo1gny9fvoc5BRGR38KPa8OGDb2dDCKncYY/IiIXxcbG6vBmbIn8CYM/EZGLLl++LHPnztUtkT9h8CciIgoyDP5ERERBhsGfiIgoyDD4ExG5+gOaKpVkypRJt0RBM84/2HCcPxERBUKcYnaViIgoyDD4ExG56Pz58zrdObZE/uShZvgj77t48aJs27ZNHn/8ccmTJ48cPXpUtm7dKhkzZtQ1xiMiIrydRKKAFRcXJzdu3NAtkT9hyd/PnDt3Tvbv329p26lRo4bMmDFDatasqaWPyMhIWblypcybN08effRRiY6O9naSiYjIx7Dk70VRUVFy9epVDdrZsmWTihUr6v5Tp07pEsnFixfXfTgOnTdQyv/ll1/kyJEj0qJFC7l//74uoYyllT///HNZvHix9OrVS+rVq6fn6dKliz4XKzASERGZGPy96K+//pL3339fChcurH9PnjxZAzWq6825wpctWyZp06a1HIfFlDCX+Nq1azVzUKZMGT2uXLlysnHjRsu5Dx06JOHh4VK+fHmvvT4iIvJNDP5ecHPFBrkydrZE7dstdcJEhg97Ww7nyywzZ87UMcMouZtt9WZb4rPPPivDhg2TNWvWyO7du6Vfv35a3Y/aALhw4YIO74Dff/9d5syZIxMnTvTGyyMKGqixQ+0btkT+hMHfC4H/fNfBWA9ZjHv35dezJ2XCS91lx6P5pEG71vojgg589evXl9DQUKlSpYrs3bvX8uOC0vy6deukYMGCupRo48aNdf+UKVNkwYIFsmXLFnnllVe0puDbb7+VBg0aaEdAInI/fEdRI0fkbxj8PQwlfgR++e/cSk+lyyanHtyRMmdvyquvvqpV/Jh3af369XL79m2t1s+bN69W90PVqlW1Zz+q/du0aaNNBUuXLpVRo0ZpBz/0CcAx2AL6DDD4E6UMdLrdvn27VKtWLckJVYh8DWf48/AMf8fyNxAj9q7+veHuFTn24JZ0zZBPQkLTSdHTa106JxF5BzrUovmtZ8+ezGSTT+AMfz4qbbEC/1/yF5FcqdJJsdQZ9X7a4gW9nTQiIgoSHOfvYVn7d/3/Kv+QECmdJkzqhGbT+7qfiIjIAxj8PSz82bqSa/ZwSVe2mFb1Y5trzggJb1bH00khIqIgxQ5/XsoA4EZE/i1DhgxSqVIl3RL5EwZ/IiIXZcmSRZ577jm+f+R3WO1PROSie/fu6QRb2BL5EwZ/IiIXXbp0SaZOnapbIn/C4E9ERBRkGPyJiIiCDIM/ERFRkGHwJyJ6CKlTp+b7R36Hc/t7eG5/IiKilMK5/YmIiMg/J/k5dOiQnD17Nt6+sLAwXbbW1vHjx+X8+fNSqlQpyZo1q93zOXIMEZEjLl68KIsXL5ZWrVpJjhw5+KaR3/D54P/ZZ5/J999/L+XKlbPsK1KkiMyePdtyH+vet2vXTte4x2NHjhyRkSNHSp8+fZw6hojIGffv35dz587plsif+Hzwh7p168qiRYsSfXzIkCGya9cuOXr0qOTKlUuWL1+uU27WrFlTatSo4fAxREREwcAvevuj1L59+3Y5ePCg3Rz2nDlzpHv37hrUoXnz5lKxYsV4tQOOHENERBQM/KLkv2bNGomKitLqtZCQEJk2bZoGbzhz5ozOrV2lSpV4z8F9lPQdPcae2NhYvVn3oiQiIvJ3Pl/yb9q0qXb427lzp5w+fVo6d+4sbdu2lcOHD+vjV65c0W22bNniPS8iIsLymCPH2DNq1Cgd2mfeChQo4PbXR0T+vapf69atdUvkT3w++KNdPnv27Pp3qlSp5OOPP5bQ0FBts4d06dJZmgas3bp1y/KYI8fYM3DgQB3Tb94iIyPd/OqIyJ9lyJBBOyNjS+RP/KLa33Y2LZTgzeF/+fPn10wBqvat4X6hQoUcPsYeZDJwIyKy5+bNm/L3339LhQoVJDw8nG8S+Q2fLvkbhiExMTHx9qHT34kTJ/TLBhkzZpRatWrJsmXL4n0h0U+gUaNGDh9DROSsGzduyOrVq3VL5E98uuR/7949ncynS5cuWrV26tQpGT16tFSrVk1eeukly3EjRoyQBg0aSP/+/XXo3uTJkyV37tzSo0cPp44hIiIKBj5d8kd7/Lp167SUjh7+W7dulcGDB8umTZvitdXXrl1bNm7cqDP3TZ8+XSpXrixbtmyJVw3nyDFERETBgAv7OIEL+xCRNQxBnjFjhvTs2VPy5MnDN4e8jgv7EBGlMHQILlmyJDsGk9/x6TZ/IiJfhpFH1v2PiPyFT7f5ExH5sgcPHuiIJGyJ/AmDPxGRizBt+KeffqpbIn/C4E9ERBRkGPyJiIiCDIM/ERFRkGHwJyIiCjKc5McJnOSHiKzFxcXpNORp06bVxcOI/CVOcZw/EZGLEPC58if5I2ZViYhcFB0dLfPnz9ctkT9h8CcictHdu3fl6NGjuiXyJwz+REREQYbBn4iIKMgw+BMREQUZBn8iIhdhKFWTJk2SHFJF5Is41I+IyEVhYWFSrVo1vn/kd1jyJyJy0e3bt2XPnj26JfInDP5ERC66evWq/PDDD7ol8ies9iciIvKClXujZPyaw3L8UowUiQiT3g1LSOPyeTzyv1nyJyIi8kLgf23+Tjl47obE3o/TLe5jvycw+BMREXkYSvwhImL89z62ISEiE9Ye9sj/Z/AnInIRVvPLnz+/bomcgap+M/CbDEPk2MUY8QQGfyIiF0VEREi3bt10S+QMtPGj5G8NJf+iOcLEExj8iYiIPAyd+8yqfvnvFiX/txuU9Mj/Z/AnInJRVFSUDB06VLdEzkCv/mkdK0vp3JkkNE0q3U7rWEUal88tnsChfkRERF7KAHhqaJ8tlvyJiIiCDIM/ERFRkGHwJyIiCjJs8yciclGOHDnkzTff5JK+5HcY/ImIXP0BTZNGsmXLxveP/A6r/YmIXHTlyhVZvHixbon8CYM/EZGL7ty5I3///bduifwJgz8REVGQYfAnIiIKMuzw5wQDEy+LyPXr11PqehCRH7lx44ZW+WMbFuaZBVmIkmLGJzNeJSbESO4Isjh9+rQUKFCA7wgREfm0yMhIXW46MQz+ToiLi5OzZ89KpkyZJMRciukhcmfISOACZc6cWfyNv6c/EF6Dv6c/EF6Dv6c/EF4D0x8fyvOoicqbN6+kSpV4yz6r/Z2ANzKpnJQr8GXzxy9coKQ/EF6Dv6c/EF6Dv6c/EF4D0/8/jzzyiCSHHf6IiIiCDIM/ERFRkGHw95LQ0FD56KOPdOuP/D39gfAa/D39gfAa/D39gfAamH7XsMMfERFRkGHJn4iIKMgw+BMREQUZBn8iIqIgw3H+KejcuXM6cUbRokUle/bsDk3OcOTIEXnw4IE+J126dOJNd+/elX379kmGDBmkdOnSDj3n1q1bcvDgQV3jvFChQuJtJ0+elIsXL0qpUqV0ciZHYYlWvHZMfuLN1xETEyMHDhyQrFmz6mciuWN37dqVYH/FihW9On778OHDOulI2bJlJX369A49B1Pm7t+/X3Lnzi158uQRb7p69ap+L5GW5Ob5wLW6dOmS3U5pVatWFW/A78o///wj9+/fl3LlykmaNGkcev+PHTumz8HnLjw8XLzpwoUL+l3GdzFnzpwOz8h6/vx5KV68uEPj3lMavpu4FpUrV3boeLz3+A3C9cJ352EnlksA0/uSe92/f9/o1q2bkT59eqNs2bJGaGio8eGHHyb5nMmTJxsFChQwSpQoobeIiAhj3rx5Xrs0a9asMXLkyGEUKVLEyJ49u/Hoo48ap06dSvT4a9euGa+99pqRLVs2o3LlyvqcChUqGH/99ZfhDTExMcazzz5rZMyY0ShdurRup0+f7tBzHzx4YDRs2NBIlSqVMWDAAMNbvvnmGyNTpkxGyZIldVu/fn3j6tWriR6/a9cuTNVtVK9e3ahVq5bltmfPHsMbzp8/b9SoUcPIkiWLUbx4cSNr1qzG0qVLk33e+PHjjcyZM+t3B897+eWXjdjYWMMbxo4dq9/jMmXKGBkyZDDatm2bZFoGDx4c773HDZ+9SpUqGd5w8OBB/fznzJlTf1/y5ctn/Pbbb0k+Z86cOfo9xueufPnyRlhYmDFq1CjDW3r37q2/oeZvKe4n5dixY0bNmjUtv1vh4eHG6NGjDW+ZOHGifn7wPShVqpRDz8E1wrXCNcO1wzXEtXQnBv8UgB8vXGjzYm3atMlIkyZNkj98Q4YMMc6cOWO5P3XqVCN16tTGvn37DE+7cuWK/lC///77eh8/drVr19bgk5jDhw8bX3/9tWZ8zOc0a9bMqFKliuEN+IEoXLiwBiD497//bYSEhGiATM6IESOM559/Xr+o3gr+eD/Tpk1rzJgxw3JNkJ6uXbsmG/wvXrxo+IIWLVoYjz/+uGbEAAEEgTAqKirR53z11Vf6A7927VrLvgULFhiXL182PG39+vX6mVm1apXeP3nypP4QDx061OFz4POH6zhhwgTDG5DpaN68ueV7+eqrrxp58+Y1bt++bfd4fM7wu4NMj2nhwoX6ufJGJhIZEXxmdu/erfd37typmbC5c+cm+hzzt+rWrVt6f+/evZqB+fnnnw1v6NOnj/6ODxo0yKHgj3TjGv3rX//S+7h2TZs21UKVOzH4p4CKFStqKdgaSpIIKI7CBceXcObMmYanzZo1y0iXLp2W5k0rVqzQH4Djx487fJ6RI0cauXPnNjwNJXdkXmxz+6hRefvtt5PNcSO3jQDqzeCPmqI8efIYcXFx8WqHUAo1f9QSC/7btm3Tv2/cuGF4C94/1JwgcJgQcFCD8fnnnyd63VDaeeuttwxf0KlTJ625sNavXz+jUKFCTtccREdHG56GQGl+HkyRkZGaofnhhx/sPufo0aP6nM2bN8d7Dvb9+uuvhqfVqVPHaNeuXbx9rVu3NurWrWv3+Dt37ujnzrbWFMGzZcuWhjcNcjD4L168WK/R2bNnLftwPXANHCm8OIod/tzs3r172k5TpUqVePurVatmtz02MTgWbf9or/I0/O8SJUrEaydG+s3HkvL333/Lhg0b5Msvv5RJkybJsGHDxNNOnDihbfa21wBtrkmlH2277du317RHRESINyGdaBu0bufDNUBbLNqVk9K6dWt56aWXtN/Fm2++qZ9JT9uzZ48uhGV9DdDeX6FChUSvAfqKnDlzRpo3b67t5jt37pTo6GjxFqTT3vcYbc/4fDli1qxZ8sILL+i18DTzfbZuY0afBfShSOwaoH2/Z8+e0rdvX1myZIn89NNP0q1bN3n22Welbt264ivXILH0o58U+ifgc2QN9//880/xB7t27dJFeaz7ujj6++sMdvhzs2vXrmnQtu3gh/uXL1926BzouNW9e3f9stWuXVs8Dem0Tb/545Xca5gxY4Zs375dO3k9/vjj8vTTT4unmWm0dw0QlBKD9/z555+XZ555RrwNr6FYsWLx9pmvJ7FrgE5Nq1atsrzn+LF76qmn9NoNHTpUfOUaJJZ+rJgJy5cvl44dO+qPHzI6bdq0ka+++krSpk0r3v4eWF8DdMJMym+//aadFqdOnSregDQiA2/7viX3W9S1a1f9LvTv31+DKTpr4nud1ApxKQEd3vC/7V0DrOSH39nUqVPHewyZ5bfeektGjRqlmQAUYr7//nvNsOF8/uCync8driE6LDsaQxzBkr+bmV80lNCs3b5926He+3heixYttKf9f/7zH/f38HTwNdim37yf3GtAaf/333/XH3IEnYYNG3r8S+fKNcB7vX79ei3hbN68WW84Hj2Gt2zZIr5wDZAeSOw1FClSJF5mCyWmHj16yMKFC8XTXLkG5nNQukFPc2yRWVu6dKl89tlnHkj1w18DazNnztTg440Sc2LpT+4aIEjWr19fXn31Vc3AoxZz8uTJ+r3A99qTENiR4bB3DbDfNvCbUNv4xRdfyKZNm+TTTz/V7wVqwDBqyR+kTeS6YZ87R4Cx5O9mKH1lyZLFbrVTwYIFk3xubGysBn4MD0QgcnRIi7thOM0vv/wSb5/5epJ7DdZVvPjCPfnkkzpMytGhgu5gDs1z5hqgihppHDJkiGUfhgiiCQMZAFwPT8JrwPv2MNcAcuXKleB98PQ1sK6+xP3y5cvbfU7hwoV1+/LLL0vGjBn1bwTPBg0a6A/5gAEDxNOvwd5nCD/OGPaXlJs3b2qG8sMPPxRvQfpRiEATitmMhdIyhr8l9hlas2aNNhP16tXLsu+5556TfPnyyY8//ijVq1f3WPpR8MFQW2d/S/G8Dh066M36NST2ufM1uG4YJo7fJLO2BUMdcV2c+e4nhyX/FIDSLqouTSj54ovTqFEjy75Tp07Fy0mbgR/t1evWrUv2xyUlIZ34gqHN1YTSF6oQzS8/XhNKxwiQZlOFLQQvfBE93d6JzBeaHJYtWxavOQYB3PoaHDp0SP766y/9u127dpYSv3nDFw0/IJ4O/IB04vOBL731NUAwNAMrAgzSiSrQxK4BMnHe+NFD2z4yHtbXAO83qsGtrwH6iJh9GPB+IwNm78c+R44c4mlI5+rVq/W7aX0N6tWrZ6mlQJ8EXAMEWWuobcHzOnfuLN5Sp04dLSlaX4Nff/1Vq9Ktr8Eff/yhvzuA9xkZhKioqHhzd6C62VvXYMWKFTo+HrDFb6t1+vH5sK6dM2tnTKhFQnNYp06dxFdt3rzZ8p7jteE7bf27g88driWuqdu4resgWWBIDIanoMf/smXLjBdeeEGHCFkPcULPT4xDNWE4DnpCf/fddzo00LwlNbY+JSE9GOf77bffGlOmTNHhNZ999lm83tz4+GB4H3zyySdGx44ddVgWhkahpz2GO77++uteSf/q1at1eOUHH3xgLFmyRHsHo6etdU/5Dh06JDkU0Zu9/e/du6dDe9DbHL1/MfwQoz8WLVpkOeaPP/7Qa4DPiTm8EUO58BnCsFKMSbcdNudJGKmCUSP43CDdmPcB18F6BAPGweP7YVq+fLmO8cdwWXyOMNwJr8GdvZwdheGFBQsW1J7i+B737dtXX8/WrVstx+C9xjVAj3hruG7ole5t+Pzje/jll1/qvBH58+fXUQzWMMLinXfe0b/x/cCYdHwvcM3wuhs1aqS/X+fOnfN4+jH6AOlHmpEWzPmA+9hvPaIC3w3T7Nmzje7du+sIJQwVxFwl6Olv/bnzJMx1gu8oXgM+T+Zv+927dy3fdXyGJk2aZHkOXieOxTXDtXvkkUeSnSvGWaz2T6FSDzr7fP7553rD7HLbtm2LV5pH6a1GjRqW+8jpYSa28ePHxzsXet56I8eKKkukHR2t0FaG9kv0IDeh5FOrVi1L0wQ6ByF3is41qFZEr+IFCxZIkyZNxBuQe0YVJjpboVSA9u/33nsvXrsfrktSM87hOWZVtKdhVq+1a9fKmDFjZMqUKdq5DLVH1p0R0QEI18CcvWzcuHEyf/58+e6777QWAKVolKq99RpeeeUVrfWZN2+eljZbtWqlnxPrfiz4zFt3bkLbMj5H06dP1xIfajp2797t0WYjE95zfI9xDfC9RPPFxo0b41V9ozod18B6OVx8/nH93njjDfE2dPREmze+l6itQy9+23ShJzmOAXw/8H2ZOHGiXjc8p1KlSjJnzhytyfE0jD7YunWrtt3j98i8bz3bJX5r0Lxo6tKli1aXT5s2Ta/DBx98oDUw3ug/Bfj+ou8EoBkDv0OAGhl8P5AufIbQw9+E31v0tcA1wGvAa8frcicu6UtERBRk2OZPREQUZBj8iYiIggyDPxERUZBh8CciIgoyDP5ERERBhsGfiIgoyDD4ExERBRkGfwoKmAoXU67amwI3qSV+8RzbqVuTOm9y930NltHF1Ke+ch5v2bt3r06qRP8P7wXeEwpcDP4UFLBQBmYoNNcicATmO8dzzLnzHTlvcvcx0x0yA7bzj3sL5kl3dsEczM+POe8f9jzOsvd/3XWeRYsWyUcffST+yl3vjQnvBd4TClwM/hQUMBVu27ZtJSwszKPntX0ci5AgM4AFYfwVpt99//334+3D9LuNGzf2+P/15nl8SSC+JkpZnNufAgLms8cc5eaKd7b7MX88Vk00l4rFnOVmyQZzZ2P+e8xhntga4ShZYX3zkiVLxptnHkHd+ry2rB9H88FPP/0Ub15vLJWKueCrVq2aaNpt99trnli5cqXOnf/PP//I0aNHpWbNmpa5wrG6IqpwMTd75cqV481Db289d8ydbqa9bNmyUqxYsXgrpO3Zs0euXLmiNRiANGIOfnOlO9R2YCnkF154Qd9b09mzZ3VpXuv9jqYtsf9rzvH+559/atoxdzrey8Qkdh4TrhFWekRNDdZ2sDefvTPvp/X/xQqGmIcez7GdZz6p9ON/4TNSu3Ztu2lL7DVhNT48D/PeY40CLO374osv6uOoecI+1EThc5/cZwwwPz0+WzgWazJ4a658cg8GfwoIM2bM0HZKLOZhQhBDqfv48eOW6nf8jaCGZUuXLFmix2GdbCxfjGCMIGq7dCkWVsLz8MONpTffffddXTAFbM9ry/pxZEDMdmW0j2MRFQQCLBaDTMGsWbMsz0PwxDLDCAiONk80a9ZMj0fARlDEokvdu3fXc2MxmtOnT2vfA5QSy5QpY/dckZGRlvcFgQHBGouiTJo0Sffh/AgCCDTmcQhCCF5YVAgLDyEY4j3DgkPWtQETJkzQJYZxTZD5ciZtif1fLJaFtdoR/LCMM64jMmdohkCti6PnASypirTgOiFwIlhjMSVzGVVn02x+tvAcLKyDDBkyavicYdEiZJbwf5JLPzKpX3/9tS6pbS9tib0mfIbwPHwu8ZnGe4Xgv2vXLv2sYOEiZBCxkA8+00OGDLH7GrCMLj5fWA4YrwGvG8tm43WHh4cn+rkkH+fWNQKJvATLeGbLls2IjY217MNywrVr19a/Dx8+rMtmHj9+3O7zsawmli7FsrgmLCOL52A50AcPHui+X375xQgJCdFlOu2dN7n7+/fvT7AELJYcDg8PN27cuGHZh+U/mzRp4tBrN9OJZUytly0dOXKk8dhjjxnXr1+37MPrwzK61suhPvroo4me++TJk7qc6Pr16y37Ro0alWApZNvzPP/887rEswnpKlCggDFu3DiH02bL3v8dMmSILn16/vx5y1LThQsXNgYOHOjUeT766CO9rr/++qtlX5cuXYynnnrKct+VNA8dOtSIiIjQz4H1ctMxMTEOp9+RtCX2mvC5wDLJ1tcBS0W3b9/e8llZs2aNnn/btm2W4/Ca8HzYvXu3kSpVqnhLkm/YsMG4dOlSoq+bfB/b/CkgoCoZVZkouZulNCxL3LFjxySfhxIUquBRusKSrdu3b09wzDvvvKNLhELDhg21mhRV8u6CUhhKeUivWeJGerAkrjPefPPNeFWxs2fPlkcffVRrGZBenB8lR9SI3LlzJ9Hz4DGUBpEGVA2jdGjvfUkK3neUQlFKBdRuoNrfXBba1bTZQjU3Stbm0tJYYve1116zVH87AyXu+vXrW+7Xq1dPRzGYXEnz3LlzNT3FixePt9y02UzkaPqTS1tisFQvlkk2HTp0SGsXsKys+Vlp0KCB1mR8++23ds+BGiqU/vFdMaHGwXopZvI/rPangIDg2bx5c/nmm2+0GhU9n69du2Zp47SFHvyokkYbJqreUaWKtlNUy9pCfwDbH1RHquMdhfZvVK2j2h8BHz/8CA54Hc5A5sW2OQDBxLbXNt4TBOX06dMnOAeCPvoO4Hlo60c6UJ184cIFp9KCgIP+E6gaRsDHdXnqqacsaXQlbfbgOliv7Q5I96lTpzRgOdMujep4a2i+sA7qrqQZ6UA/kYdNf3Jpc/QzYX5u7f3PxD7TSP+nn34qHTp00M8DrmPXrl21DwL5LwZ/ChgobaI9GSVnBBuzXdMe9A1AoMePrNlha/jw4TJnzpwExyL4oWOe9f2CBQu6Ne0o/Y0ZM0ZLZsgE4Ic2Xbp0Tp3DNtAhQ4POhmjPdVT//v31fRw3bpxlH9qiEYicgUCI2hhcB2wRMMePH/9QabMHwfjy5cvx9uE+SqXu7pDmSprRNp7UyI6UTr/tOfD/zP9h3UcF99HZMDF9+/aV3r17a4fDxYsXay0EakBQa0D+idX+FDBQkkfJZN68eVriTKrKHx3xUKI3A39cXJz88MMPdo81O1GZz0NVeK1atVxKo9lByrbUhpIXqnIxVn7btm0JqvzxQ/v77787/X4gI2E7SRGGGyYGr69UqVKW+xjhgM5otq/BkVInMjBIN6q+Y2NjtUbhYdJm7/+iJzuCkTVkNLDfmfM4wpU0P/3005oBwufLhEwnOgK6mv6HeU3omIiMhfX/xOgBdA5M7H9ilABeM5q+0OT18ccfS7ly5Zz+PJJvYcmfAgZ6T7dp00bbM/E3Sv6JQZX6xIkT9VgEXlS1o9rfXjvmlClTtDYBQ5y++OIL/QG0DmTOQDUsahGGDRumwQSlLbP6tEePHtK+fXstaWMolbV+/frJE088oW2zjkJNAs6N56BZAc0LGK2AvhHIHNmDki1GMiBYI0B9/vnnCYYxIn0HDhzQ2gG8FuuhctaQmUGvc5Qan3/++Xg9w11Jm73/i0CEoXGoXcD7idEECEpJBSZH0++O93PUqFGaUaxbt642f5izRiKDh8+oK+l/mNeE9vtPPvlEevXqpcMAMYIFn2n0ZUBmzR70LejWrZt+t/BdQZ8BDHdM6vtFvo8lfwooPXv21B8lDFuyHn9tO9kOAtOaNWu07R8/xPhhXrBgQbzOUWgywHPQDo5ha3/88Yf+QKI/gVmdanve5O6jHRzPRwcvDNUyx9QD+iygdGVb6kffBZTAX3/9dbuv2Uyn7XhzBAFU06JJAaV3nANBxrqGw3ZyHgSGDz/8UIeDYXgihoohg4QMj6lGjRra2Q0BAEEPbcX2JvnBa8FMcbgetml3JG227P1fBKPdu3fr8EYMS8R8A7hvPReDI+cpX768dua0hsyedSbPlTSjeQjPQWYTnSaRqfr5558tGSpH0u9I2hx9TYDPFz6D+OwjTehgiCGoZqdWwPPwfEDmBTU4aIZav369Nn/g84EMA/mvEHT593YiiEi0Khbj481x1CYED/xYoz2eiMgdGPyJvAydDjGBCqqA0XN89OjR3k4SEQU4tvkTeRk6jKFkj3ZVtO0TEaU0lvyJiIiCDDv8ERERBRkGfyIioiDD4E9ERBRkGPyJiIiCDIM/ERFRkGHwJyIiCjIM/kREREGGwZ+IiCjIMPgTERFJcPk/6gvNy1RRx/MAAAAASUVORK5CYII=", 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", 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" ] diff --git a/src/mantispy/tl/_design.py b/src/mantispy/tl/_design.py index 2a89a38..b287a40 100644 --- a/src/mantispy/tl/_design.py +++ b/src/mantispy/tl/_design.py @@ -12,7 +12,7 @@ from mantispy._core._reduce import group_codes, group_offsets, representation from mantispy._core.frames import as_frame from mantispy._core.logging import get_logger -from mantispy._core.masks import reference_mask +from mantispy._core.masks import held_out_reference, reference_mask from mantispy._core.mutation import inplace_or_copy @@ -177,7 +177,7 @@ def cytotoxicity( reference: str | None = "negcon", count_key: str = "Metadata_CellCount", site_key: str | None = "Metadata_SiteCount", - distance_key: str = "hits_distance", + distance_key: str = "hits_row_distance", min_viability: float = 0.7, key_added: str = "cytotoxicity", copy: bool = False, @@ -191,7 +191,7 @@ def cytotoxicity( count_key: ``obs`` column holding the cell count. site_key: ``obs`` column holding the number of fields of view that count covers. Where present, viability compares cells per field, so a well missing a field does not read as cell loss. ``None`` compares the counts as they are. - distance_key: ``obs`` column holding the distance from the controls, as written by :func:`~mantispy.tl.hit_calling`. + distance_key: ``obs`` column holding the per-row distance from the controls, as written by :func:`~mantispy.tl.hit_calling`. Its group-level sibling ``hits_distance`` is one number repeated over each group's rows, so the median below would return the value it was handed. min_viability: Fraction of the control cell count below which a group counts as having lost cells. key_added: Name for the outputs. copy: Return a modified copy instead of mutating in place. @@ -232,7 +232,7 @@ def cytotoxicity( if distance_key not in obs: raise KeyError( f"obs has no column {distance_key!r}; run mt.tl.hit_calling first, which writes " - "obs['hits_distance'], or name another column" + "obs['hits_row_distance'], or name another column" ) is_control = reference_mask(adata, reference) @@ -241,7 +241,7 @@ def cytotoxicity( counts = counts / np.maximum(obs[site_key].to_numpy(dtype=float), 1) distances = obs[distance_key].to_numpy(dtype=float) control_count = float(np.nanmedian(counts[is_control])) - control_distance = float(np.nanmedian(distances[is_control])) + control_distance = float(np.nanmedian(distances[held_out_reference(adata, is_control, distance_key)])) if not np.isfinite(control_count) or control_count <= 0: raise ValueError(f"the reference rows have no usable {count_key!r} to normalize viability against") diff --git a/tests/test_tl_design.py b/tests/test_tl_design.py index 49eb0f0..f667dea 100644 --- a/tests/test_tl_design.py +++ b/tests/test_tl_design.py @@ -47,7 +47,7 @@ def test_cytotoxicity_flags_cell_loss_not_morphology(profiles): toxic = (profiles.obs["Metadata_Perturbation"] == "pert00").to_numpy() counts[toxic] = counts[toxic] // 5 profiles.obs["Metadata_CellCount"] = counts - profiles.obs["hits_distance"] = np.where(toxic, 10.0, 1.0) + profiles.obs["hits_row_distance"] = np.where(toxic, 10.0, 1.0) mt.tl.cytotoxicity(profiles) table = profiles.uns["mantispy"]["cytotoxicity"].set_index("group") @@ -63,7 +63,7 @@ def test_cell_loss_alone_is_not_suspect(profiles): quiet = (profiles.obs["Metadata_Perturbation"] == "pert01").to_numpy() counts[quiet] = counts[quiet] // 5 profiles.obs["Metadata_CellCount"] = counts - profiles.obs["hits_distance"] = 1.0 + profiles.obs["hits_row_distance"] = 1.0 mt.tl.cytotoxicity(profiles) table = profiles.uns["mantispy"]["cytotoxicity"].set_index("group") @@ -71,6 +71,29 @@ def test_cell_loss_alone_is_not_suspect(profiles): assert not bool(table.loc["pert01", "suspect"]) +def test_cytotoxicity_medians_the_rows_rather_than_a_group_statistic(profiles): + """Regression for #84. + + ``hits_distance`` is one number repeated over a group's rows, so the median this function + documents returned the value it was handed, and no genuinely per-row response could be given. + """ + toxic = (profiles.obs["Metadata_Perturbation"] == "pert00").to_numpy() + counts = profiles.obs["Metadata_CellCount"].to_numpy().copy() + counts[toxic] = counts[toxic] // 5 + profiles.obs["Metadata_CellCount"] = counts + # A quiet group with one well far out, and the group statistic that would hide the difference. + rows = np.ones(profiles.n_obs) + rows[np.flatnonzero(toxic)[0]] = 100.0 + profiles.obs["hits_row_distance"] = rows + profiles.obs["hits_distance"] = np.where(toxic, 100.0, 1.0) + + mt.tl.cytotoxicity(profiles) + table = profiles.uns["mantispy"]["cytotoxicity"].set_index("group") + assert table.loc["pert00", "viability"] < 0.5 + assert table.loc["pert00", "distance"] == 1.0, "one well far out does not move the group's median" + assert not bool(table.loc["pert00", "suspect"]) + + def test_cytotoxicity_says_what_to_run_first(profiles): with pytest.raises(KeyError, match="mt.tl.hit_calling"): mt.tl.cytotoxicity(profiles, distance_key="not_computed") @@ -78,7 +101,7 @@ def test_cytotoxicity_says_what_to_run_first(profiles): def test_a_missing_count_names_where_to_get_one(profiles): del profiles.obs["Metadata_CellCount"] - profiles.obs["hits_distance"] = 1.0 + profiles.obs["hits_row_distance"] = 1.0 with pytest.raises(KeyError, match="mt.tl.aggregate.*mt.ds.*count_key="): mt.tl.cytotoxicity(profiles) @@ -88,7 +111,7 @@ def test_viability_compares_cells_per_field(profiles): halved = (profiles.obs["Metadata_Perturbation"] == "pert01").to_numpy() profiles.obs["Metadata_SiteCount"] = np.where(halved, 2.0, 4.0) profiles.obs["Metadata_CellCount"] = np.where(halved, 10.0, 20.0) - profiles.obs["hits_distance"] = 1.0 + profiles.obs["hits_row_distance"] = 1.0 mt.tl.cytotoxicity(profiles) assert profiles.uns["mantispy"]["cytotoxicity"].set_index("group").loc["pert01", "viability"] == 1.0 From dd264f19456c9daee97ef128171237a1596ba7e8 Mon Sep 17 00:00:00 2001 From: anon Date: Sun, 20 Sep 2026 18:14:15 +0200 Subject: [PATCH 3/5] Draw the dose response on a log scale when it is positive The response is a distance from the controls, with a long right tail, so one stray well stretched the linear axis until every other point sat flat on the baseline. Staurosporine's wells climb from 5 to 18 over the dose range in tutorial 11 and none of it was visible. A response that reaches zero or below is still drawn on a linear scale. --- docs/tutorials/11_dose_response.ipynb | 70 +++++++++++++-------------- src/mantispy/pl/_hits.py | 4 ++ tests/test_pl_hits.py | 11 +++++ 3 files changed, 50 insertions(+), 35 deletions(-) diff --git a/docs/tutorials/11_dose_response.ipynb b/docs/tutorials/11_dose_response.ipynb index a2200ea..399773a 100644 --- a/docs/tutorials/11_dose_response.ipynb +++ b/docs/tutorials/11_dose_response.ipynb @@ -25,10 +25,10 @@ "id": "bac81e87", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T15:34:28.071627Z", - "iopub.status.busy": "2026-09-20T15:34:28.071437Z", - "iopub.status.idle": "2026-09-20T15:35:46.933165Z", - "shell.execute_reply": "2026-09-20T15:35:46.932660Z" + "iopub.execute_input": "2026-09-20T16:10:58.948995Z", + "iopub.status.busy": "2026-09-20T16:10:58.948881Z", + "iopub.status.idle": "2026-09-20T16:11:18.313702Z", + "shell.execute_reply": "2026-09-20T16:11:18.313088Z" } }, "outputs": [ @@ -87,10 +87,10 @@ "id": "58b04c93", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T15:35:46.935369Z", - "iopub.status.busy": "2026-09-20T15:35:46.935219Z", - "iopub.status.idle": "2026-09-20T15:35:50.499123Z", - "shell.execute_reply": "2026-09-20T15:35:50.498529Z" + "iopub.execute_input": "2026-09-20T16:11:18.315351Z", + "iopub.status.busy": "2026-09-20T16:11:18.315196Z", + "iopub.status.idle": "2026-09-20T16:11:18.965594Z", + "shell.execute_reply": "2026-09-20T16:11:18.965012Z" } }, "outputs": [ @@ -127,10 +127,10 @@ "id": "8e9ef049", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T15:35:50.500895Z", - "iopub.status.busy": "2026-09-20T15:35:50.500771Z", - "iopub.status.idle": "2026-09-20T15:36:17.907955Z", - "shell.execute_reply": "2026-09-20T15:36:17.906929Z" + "iopub.execute_input": "2026-09-20T16:11:18.967549Z", + "iopub.status.busy": "2026-09-20T16:11:18.967365Z", + "iopub.status.idle": "2026-09-20T16:11:32.603063Z", + "shell.execute_reply": "2026-09-20T16:11:32.602311Z" } }, "outputs": [ @@ -138,7 +138,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_35609/992733786.py:7: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_99356/992733786.py:7: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", " plt.tight_layout()\n" ] }, @@ -184,10 +184,10 @@ "id": "e0c13226", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T15:36:17.911587Z", - "iopub.status.busy": "2026-09-20T15:36:17.911371Z", - "iopub.status.idle": "2026-09-20T15:36:18.928386Z", - "shell.execute_reply": "2026-09-20T15:36:18.927738Z" + "iopub.execute_input": "2026-09-20T16:11:32.606830Z", + "iopub.status.busy": "2026-09-20T16:11:32.606687Z", + "iopub.status.idle": "2026-09-20T16:11:33.611351Z", + "shell.execute_reply": "2026-09-20T16:11:33.610687Z" } }, "outputs": [ @@ -227,10 +227,10 @@ "id": "a5fdbb04", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T15:36:18.929973Z", - "iopub.status.busy": "2026-09-20T15:36:18.929818Z", - "iopub.status.idle": "2026-09-20T15:36:21.497907Z", - "shell.execute_reply": "2026-09-20T15:36:21.497421Z" + "iopub.execute_input": "2026-09-20T16:11:33.613118Z", + "iopub.status.busy": "2026-09-20T16:11:33.612947Z", + "iopub.status.idle": "2026-09-20T16:11:36.133086Z", + "shell.execute_reply": "2026-09-20T16:11:36.132594Z" } }, "outputs": [ @@ -445,16 +445,16 @@ "id": "2f812053", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T15:36:21.499553Z", - "iopub.status.busy": "2026-09-20T15:36:21.499435Z", - "iopub.status.idle": "2026-09-20T15:36:22.008871Z", - "shell.execute_reply": "2026-09-20T15:36:22.008217Z" + "iopub.execute_input": "2026-09-20T16:11:36.134677Z", + "iopub.status.busy": "2026-09-20T16:11:36.134560Z", + "iopub.status.idle": "2026-09-20T16:11:36.782347Z", + "shell.execute_reply": "2026-09-20T16:11:36.781696Z" } }, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -493,10 +493,10 @@ "id": "f7852d4b", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T15:36:22.010520Z", - "iopub.status.busy": "2026-09-20T15:36:22.010396Z", - "iopub.status.idle": "2026-09-20T15:36:22.117960Z", - "shell.execute_reply": "2026-09-20T15:36:22.117287Z" + "iopub.execute_input": "2026-09-20T16:11:36.783946Z", + "iopub.status.busy": "2026-09-20T16:11:36.783831Z", + "iopub.status.idle": "2026-09-20T16:11:36.897576Z", + "shell.execute_reply": "2026-09-20T16:11:36.896973Z" } }, "outputs": [ @@ -539,10 +539,10 @@ "id": "defe9869", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T15:36:22.119353Z", - "iopub.status.busy": "2026-09-20T15:36:22.119222Z", - "iopub.status.idle": "2026-09-20T15:36:24.716422Z", - "shell.execute_reply": "2026-09-20T15:36:24.715838Z" + "iopub.execute_input": "2026-09-20T16:11:36.899400Z", + "iopub.status.busy": "2026-09-20T16:11:36.899253Z", + "iopub.status.idle": "2026-09-20T16:11:39.525065Z", + "shell.execute_reply": "2026-09-20T16:11:39.524409Z" } }, "outputs": [ @@ -550,7 +550,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_35609/2041206685.py:7: UserWarning: 280 of 289 groups have fewer than three rows, so their statistic is the median of one or two wells. Aggregate more replicates, or score activity with mt.tl.map(mode='activity'), which ranks replicate pairs and is built for screens with little replication.\n", + "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_99356/2041206685.py:7: UserWarning: 280 of 289 groups have fewer than three rows, so their statistic is the median of one or two wells. Aggregate more replicates, or score activity with mt.tl.map(mode='activity'), which ranks replicate pairs and is built for screens with little replication.\n", " mt.tl.hit_calling(u2os, groupby=\"Metadata_Perturbation\", use_rep=\"X_pca\", n_permutations=300)\n" ] }, diff --git a/src/mantispy/pl/_hits.py b/src/mantispy/pl/_hits.py index 622f4d1..c540448 100644 --- a/src/mantispy/pl/_hits.py +++ b/src/mantispy/pl/_hits.py @@ -225,6 +225,10 @@ def dose_response( ax = _axes(ax, (5, 4)) ax.scatter(doses[usable], values[usable], s=18, label="wells") ax.set_xscale("log") + # A distance from the controls has a long right tail, and one stray well is enough to flatten every + # other point onto the baseline. A response that reaches zero or below is drawn on a linear scale. + if usable.any() and values[usable].min() > 0: + ax.set_yscale("log") fitted = row.iloc[0] if bool(fitted["fit_ok"]): diff --git a/tests/test_pl_hits.py b/tests/test_pl_hits.py index 2d6e384..ac59054 100644 --- a/tests/test_pl_hits.py +++ b/tests/test_pl_hits.py @@ -150,3 +150,14 @@ def test_an_inhibitory_curve_is_drawn_the_way_the_data_runs(inhibitor_adata): line = next(line for line in ax.get_lines() if line.get_label().startswith("EC50")) drawn = line.get_ydata() assert drawn[0] > drawn[-1], "the curve runs uphill while the data runs downhill" + + +def test_one_stray_well_does_not_flatten_the_rest_onto_the_baseline(inhibitor_adata): + """A distance from the controls has a long right tail, so a linear axis hides the response.""" + assert mt.pl.dose_response(inhibitor_adata, compound="cpd").get_yscale() == "log" + + # A response that reaches zero has no log scale to be drawn on. + response = inhibitor_adata.obs["hits_row_distance"].to_numpy(dtype=float).copy() + response[0] = 0.0 + inhibitor_adata.obs["hits_row_distance"] = response + assert mt.pl.dose_response(inhibitor_adata, compound="cpd").get_yscale() == "linear" From 61f1e2c497d5362b6f6e534e6798ffa997e87287 Mon Sep 17 00:00:00 2001 From: anon Date: Sun, 20 Sep 2026 18:30:48 +0200 Subject: [PATCH 4/5] Name OASIS replicate groups by a dose written one way Two of the twelve plate maps record the dose to three decimals where the rest use four, so one concentration arrives as both 3.704 and 3.7037. Metadata_ Perturbation was built from the raw column, so the wells of a single treatment split across the two spellings and most groups held too few wells to be replicates of anything. Metadata_Concentration still holds what each plate map recorded. The new Metadata_ConcentrationRounded puts levels agreeing to within 1% onto the value the most wells carry, so every dose it holds is one that was written down, and it names the perturbation groups. No rounding precision does this: none separates the pairs that differ from those that do not. --- docs/datasets/oasis_pilot.ipynb | 195 +++++++++++++++---- docs/tutorials/11_dose_response.ipynb | 257 +++++++++++++------------- spec/schema-1.0.json | 1 + src/mantispy/_core/schema.py | 2 + src/mantispy/ds/_datasets.py | 38 +++- tests/test_datasets_oasis.py | 22 +++ 6 files changed, 344 insertions(+), 171 deletions(-) diff --git a/docs/datasets/oasis_pilot.ipynb b/docs/datasets/oasis_pilot.ipynb index 6073aec..22a494a 100644 --- a/docs/datasets/oasis_pilot.ipynb +++ b/docs/datasets/oasis_pilot.ipynb @@ -24,10 +24,10 @@ "id": "389f4a08", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T02:38:05.864331Z", - "iopub.status.busy": "2026-09-20T02:38:05.864206Z", - "iopub.status.idle": "2026-09-20T02:38:09.827608Z", - "shell.execute_reply": "2026-09-20T02:38:09.827057Z" + "iopub.execute_input": "2026-09-20T16:27:41.046319Z", + "iopub.status.busy": "2026-09-20T16:27:41.046197Z", + "iopub.status.idle": "2026-09-20T16:27:45.492284Z", + "shell.execute_reply": "2026-09-20T16:27:45.491530Z" } }, "outputs": [ @@ -35,15 +35,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/tim.treis/Documents/GitHub/mantispy/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + "/Users/tim.treis/Library/Application Support/hatch/env/virtual/mantispy/n7Ku6oea/tutorials/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n" ] }, { "data": { "text/plain": [ - "AnnData object with n_obs \u00d7 n_vars = 4604 \u00d7 99\n", - " obs: 'Metadata_plate_map_name', 'Metadata_Plate', 'Metadata_Well', 'Metadata_Site_Count', 'Metadata_Count_Cells', 'Metadata_Count_CellsIncludingEdges', 'Metadata_Count_Cytoplasm', 'Metadata_Count_Nuclei', 'Metadata_Count_NucleiIncludingEdges', 'Metadata_Object_Count', 'Metadata_CellCount', 'Metadata_SiteCount', 'Metadata_Compound', 'Metadata_Concentration', 'Metadata_CellLine', 'Metadata_Control', 'Metadata_Perturbation'\n", + "AnnData object with n_obs × n_vars = 4604 × 99\n", + " obs: 'Metadata_plate_map_name', 'Metadata_Plate', 'Metadata_Well', 'Metadata_Site_Count', 'Metadata_Count_Cells', 'Metadata_Count_CellsIncludingEdges', 'Metadata_Count_Cytoplasm', 'Metadata_Count_Nuclei', 'Metadata_Count_NucleiIncludingEdges', 'Metadata_Object_Count', 'Metadata_CellCount', 'Metadata_SiteCount', 'Metadata_Compound', 'Metadata_Concentration', 'Metadata_ConcentrationRounded', 'Metadata_CellLine', 'Metadata_Control', 'Metadata_Perturbation'\n", " var: 'object', 'feature_group', 'feature', 'channel', 'scale', 'angle', 'gray_levels', 'radial_bin', 'params', 'is_feature'\n", " uns: 'mantispy'\n", " layers: None (.X)" @@ -88,10 +88,10 @@ "id": "14c9f7db", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T02:38:09.829550Z", - "iopub.status.busy": "2026-09-20T02:38:09.829417Z", - "iopub.status.idle": "2026-09-20T02:38:09.857185Z", - "shell.execute_reply": "2026-09-20T02:38:09.856647Z" + "iopub.execute_input": "2026-09-20T16:27:45.493818Z", + "iopub.status.busy": "2026-09-20T16:27:45.493672Z", + "iopub.status.idle": "2026-09-20T16:27:45.515407Z", + "shell.execute_reply": "2026-09-20T16:27:45.514851Z" } }, "outputs": [ @@ -277,7 +277,7 @@ "batch writes the line as `HepRG` and the others as `HepaRG`, which would split every per-line grouping in two.\n", "\n", "The first quirk is worth seeing rather than taking on trust, because reading the obvious column alone loses the\n", - "controls \u2014 and a screen without controls silently loses every normalization and every hit call that depends on\n", + "controls — and a screen without controls silently loses every normalization and every hit call that depends on\n", "them:" ] }, @@ -287,16 +287,16 @@ "id": "eee4a087", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T02:38:09.858974Z", - "iopub.status.busy": "2026-09-20T02:38:09.858852Z", - "iopub.status.idle": "2026-09-20T02:38:10.073253Z", - "shell.execute_reply": "2026-09-20T02:38:10.072698Z" + "iopub.execute_input": "2026-09-20T16:27:45.517069Z", + "iopub.status.busy": "2026-09-20T16:27:45.516946Z", + "iopub.status.idle": "2026-09-20T16:27:45.701490Z", + "shell.execute_reply": "2026-09-20T16:27:45.700874Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -352,16 +352,16 @@ "id": "b653a03e", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T02:38:10.074939Z", - "iopub.status.busy": "2026-09-20T02:38:10.074821Z", - "iopub.status.idle": "2026-09-20T02:38:10.320804Z", - "shell.execute_reply": "2026-09-20T02:38:10.320326Z" + "iopub.execute_input": "2026-09-20T16:27:45.703230Z", + "iopub.status.busy": "2026-09-20T16:27:45.703099Z", + "iopub.status.idle": "2026-09-20T16:27:45.962179Z", + "shell.execute_reply": "2026-09-20T16:27:45.961616Z" } }, "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -374,7 +374,7 @@ "dosed_plate = \"BR00145690\"\n", "fig, axes = plt.subplots(1, 2, figsize=(11, 3.4))\n", "mt.pl.plate(adata, color=\"Metadata_Concentration\", plate=dosed_plate, ax=axes[0], cmap=\"magma\")\n", - "axes[0].set_title(f\"{dosed_plate}: concentration (\u00b5M)\")\n", + "axes[0].set_title(f\"{dosed_plate}: concentration (µM)\")\n", "mt.pl.plate(adata, color=\"Metadata_CellCount\", plate=dosed_plate, ax=axes[1], cmap=\"viridis\")\n", "axes[1].set_title(f\"{dosed_plate}: cells per well\")\n", "fig.tight_layout()" @@ -386,7 +386,7 @@ "metadata": {}, "source": [ "The blank cells on the left are the wells with no concentration to show: DMSO and the empties. On the right the\n", - "same plate in cell counts, which is where a dose series first becomes visible \u2014 the columns that carry the\n", + "same plate in cell counts, which is where a dose series first becomes visible — the columns that carry the\n", "highest concentrations of the more toxic compounds are the sparsest.\n", "\n", "## Dose coverage\n", @@ -401,10 +401,10 @@ "id": "43250f1c", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T02:38:10.322669Z", - "iopub.status.busy": "2026-09-20T02:38:10.322548Z", - "iopub.status.idle": "2026-09-20T02:38:10.512776Z", - "shell.execute_reply": "2026-09-20T02:38:10.512145Z" + "iopub.execute_input": "2026-09-20T16:27:45.963846Z", + "iopub.status.busy": "2026-09-20T16:27:45.963732Z", + "iopub.status.idle": "2026-09-20T16:27:46.161497Z", + "shell.execute_reply": "2026-09-20T16:27:46.160646Z" } }, "outputs": [ @@ -417,7 +417,7 @@ }, { "data": { - "image/png": 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", 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" ] @@ -441,12 +441,133 @@ "for line, colour in ((\"U2OS\", \"#3a7ca5\"), (\"HepaRG\", \"#c1666b\")):\n", " values = treated.loc[treated[\"Metadata_CellLine\"] == line, \"Metadata_Concentration\"]\n", " axes[1].hist(np.log10(values[values > 0]), bins=40, alpha=0.6, color=colour, label=line)\n", - "axes[1].set(xlabel=\"log10 concentration (\u00b5M)\", ylabel=\"wells\", title=\"concentrations tested\")\n", + "axes[1].set(xlabel=\"log10 concentration (µM)\", ylabel=\"wells\", title=\"concentrations tested\")\n", "axes[1].legend(frameon=False)\n", "fig.tight_layout()\n", "print(f\"{int((doses >= 6).sum())} compound-and-line pairs carry six or more concentrations\")" ] }, + { + "cell_type": "markdown", + "id": "b8202723", + "metadata": {}, + "source": [ + "### One concentration, written two ways\n", + "\n", + "Two of the twelve plate maps record the dose to three decimals where the rest use four, so a single\n", + "concentration arrives as both `3.704` and `3.7037`. Nothing downstream can tell that these are one level:\n", + "`groupby` splits a treatment's wells across the two spellings, and {func}`~mantispy.tl.dose_response`\n", + "reports more distinct doses than were ever plated.\n", + "\n", + "`Metadata_Concentration` keeps what each plate map recorded. `Metadata_ConcentrationRounded` is derived from\n", + "it in the loader: levels that agree to within 1% are one level, named by the value the most wells carry, so\n", + "every dose it holds is one that was actually written down rather than an average of two. It names\n", + "`Metadata_Perturbation`, so replicates of a treatment stay in one group." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "47b37e6a", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-20T16:27:46.163312Z", + "iopub.status.busy": "2026-09-20T16:27:46.163178Z", + "iopub.status.idle": "2026-09-20T16:27:46.171117Z", + "shell.execute_reply": "2026-09-20T16:27:46.170613Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "distinct doses: 141 recorded, 67 after aligning\n", + "largest correction: 0.88%\n", + "992 of 3880 dosed wells move\n" + ] + }, + { + "data": { + "text/html": [ + "
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34710.0510.0514
\n", + "
" + ], + "text/plain": [ + " recorded aligned\n", + "3568 0.017 0.0171\n", + "3404 0.031 0.0309\n", + "3418 0.034 0.0343\n", + "3281 0.046 0.0457\n", + "3471 0.051 0.0514" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw = obs[\"Metadata_Concentration\"].to_numpy(dtype=float)\n", + "aligned = obs[\"Metadata_ConcentrationRounded\"].to_numpy(dtype=float)\n", + "dosed = np.isfinite(raw) & (raw > 0)\n", + "\n", + "print(f\"distinct doses: {len(np.unique(raw[dosed]))} recorded, {len(np.unique(aligned[dosed]))} after aligning\")\n", + "print(f\"largest correction: {100 * np.max(np.abs(aligned[dosed] / raw[dosed] - 1)):.2f}%\")\n", + "moved = pd.DataFrame({\"recorded\": raw[dosed], \"aligned\": aligned[dosed]}).query(\"recorded != aligned\")\n", + "print(f\"{len(moved)} of {int(dosed.sum())} dosed wells move\")\n", + "moved.drop_duplicates().sort_values(\"aligned\").head()" + ] + }, { "cell_type": "markdown", "id": "c17cdba7", @@ -461,20 +582,20 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "id": "02184bd2", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T02:38:10.514785Z", - "iopub.status.busy": "2026-09-20T02:38:10.514652Z", - "iopub.status.idle": "2026-09-20T02:38:10.957825Z", - "shell.execute_reply": "2026-09-20T02:38:10.957318Z" + "iopub.execute_input": "2026-09-20T16:27:46.172738Z", + "iopub.status.busy": "2026-09-20T16:27:46.172623Z", + "iopub.status.idle": "2026-09-20T16:27:46.581662Z", + "shell.execute_reply": "2026-09-20T16:27:46.581148Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -496,7 +617,7 @@ " counts = per_dose(compound, line, \"Metadata_CellCount\")\n", " vehicle = obs[(obs[\"Metadata_CellLine\"] == line) & obs[\"Metadata_Control\"]][\"Metadata_CellCount\"].median()\n", " ax.plot(counts.index, counts.to_numpy() / vehicle, marker=marker, label=line)\n", - " ax.set(xscale=\"log\", xlabel=\"concentration (\u00b5M)\", title=compound)\n", + " ax.set(xscale=\"log\", xlabel=\"concentration (µM)\", title=compound)\n", " ax.axhline(1.0, color=\"0.7\", lw=0.8, zorder=0)\n", "axes[0].set_ylabel(\"cells, relative to DMSO\")\n", "axes[0].legend(frameon=False)\n", diff --git a/docs/tutorials/11_dose_response.ipynb b/docs/tutorials/11_dose_response.ipynb index 399773a..724ee88 100644 --- a/docs/tutorials/11_dose_response.ipynb +++ b/docs/tutorials/11_dose_response.ipynb @@ -25,10 +25,10 @@ "id": "bac81e87", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:10:58.948995Z", - "iopub.status.busy": "2026-09-20T16:10:58.948881Z", - "iopub.status.idle": "2026-09-20T16:11:18.313702Z", - "shell.execute_reply": "2026-09-20T16:11:18.313088Z" + "iopub.execute_input": "2026-09-20T16:25:00.750633Z", + "iopub.status.busy": "2026-09-20T16:25:00.750500Z", + "iopub.status.idle": "2026-09-20T16:25:08.535689Z", + "shell.execute_reply": "2026-09-20T16:25:08.534789Z" } }, "outputs": [ @@ -44,7 +44,7 @@ "data": { "text/plain": [ "AnnData object with n_obs × n_vars = 2831 × 99\n", - " obs: 'Metadata_plate_map_name', 'Metadata_Plate', 'Metadata_Well', 'Metadata_Site_Count', 'Metadata_Count_Cells', 'Metadata_Count_CellsIncludingEdges', 'Metadata_Count_Cytoplasm', 'Metadata_Count_Nuclei', 'Metadata_Count_NucleiIncludingEdges', 'Metadata_Object_Count', 'Metadata_CellCount', 'Metadata_SiteCount', 'Metadata_Compound', 'Metadata_Concentration', 'Metadata_CellLine', 'Metadata_Control', 'Metadata_Perturbation'\n", + " obs: 'Metadata_plate_map_name', 'Metadata_Plate', 'Metadata_Well', 'Metadata_Site_Count', 'Metadata_Count_Cells', 'Metadata_Count_CellsIncludingEdges', 'Metadata_Count_Cytoplasm', 'Metadata_Count_Nuclei', 'Metadata_Count_NucleiIncludingEdges', 'Metadata_Object_Count', 'Metadata_CellCount', 'Metadata_SiteCount', 'Metadata_Compound', 'Metadata_Concentration', 'Metadata_ConcentrationRounded', 'Metadata_CellLine', 'Metadata_Control', 'Metadata_Perturbation'\n", " var: 'object', 'feature_group', 'feature', 'channel', 'scale', 'angle', 'gray_levels', 'radial_bin', 'params', 'is_feature'\n", " uns: 'mantispy'\n", " layers: None (.X)" @@ -87,10 +87,10 @@ "id": "58b04c93", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:11:18.315351Z", - "iopub.status.busy": "2026-09-20T16:11:18.315196Z", - "iopub.status.idle": "2026-09-20T16:11:18.965594Z", - "shell.execute_reply": "2026-09-20T16:11:18.965012Z" + "iopub.execute_input": "2026-09-20T16:25:08.537581Z", + "iopub.status.busy": "2026-09-20T16:25:08.537347Z", + "iopub.status.idle": "2026-09-20T16:25:08.903910Z", + "shell.execute_reply": "2026-09-20T16:25:08.903404Z" } }, "outputs": [ @@ -127,10 +127,10 @@ "id": "8e9ef049", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:11:18.967549Z", - "iopub.status.busy": "2026-09-20T16:11:18.967365Z", - "iopub.status.idle": "2026-09-20T16:11:32.603063Z", - "shell.execute_reply": "2026-09-20T16:11:32.602311Z" + "iopub.execute_input": "2026-09-20T16:25:08.905738Z", + "iopub.status.busy": "2026-09-20T16:25:08.905507Z", + "iopub.status.idle": "2026-09-20T16:25:21.235477Z", + "shell.execute_reply": "2026-09-20T16:25:21.234952Z" } }, "outputs": [ @@ -138,7 +138,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_99356/992733786.py:7: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_24608/992733786.py:7: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", " plt.tight_layout()\n" ] }, @@ -184,16 +184,16 @@ "id": "e0c13226", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:11:32.606830Z", - "iopub.status.busy": "2026-09-20T16:11:32.606687Z", - "iopub.status.idle": "2026-09-20T16:11:33.611351Z", - "shell.execute_reply": "2026-09-20T16:11:33.610687Z" + "iopub.execute_input": "2026-09-20T16:25:21.239811Z", + "iopub.status.busy": "2026-09-20T16:25:21.239687Z", + "iopub.status.idle": "2026-09-20T16:25:21.933455Z", + "shell.execute_reply": "2026-09-20T16:25:21.932947Z" } }, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -213,9 +213,11 @@ "id": "f12d2d39", "metadata": {}, "source": [ - "That warning is worth reading rather than dismissing. Nearly every compound-at-a-concentration here sits in one\n", - "or two wells, so the per-group hit call is thin. This is the trade the plate map made: concentrations instead of\n", - "replicates. It is also why the next step is a curve rather than a table of per-concentration tests — a fit reads\n", + "HepaRG carries eight wells at each concentration, so a per-group statistic here rests on eight wells rather\n", + "than one. That holds only because `Metadata_Perturbation` is named by `Metadata_ConcentrationRounded`: two of\n", + "this accession's plate maps write the dose to three decimals and the rest to four, and on the raw column a\n", + "treatment's wells split across the two spellings. U2OS is two plates rather than eight, and there most groups\n", + "really do hold one or two wells, which is the trade a plate map makes: concentrations instead of replicates. It is also why the next step is a curve rather than a table of per-concentration tests — a fit reads\n", "all ten concentrations together, and the shape across them is what carries the evidence.\n", "\n", "## Fitting the concentration response" @@ -227,10 +229,10 @@ "id": "a5fdbb04", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:11:33.613118Z", - "iopub.status.busy": "2026-09-20T16:11:33.612947Z", - "iopub.status.idle": "2026-09-20T16:11:36.133086Z", - "shell.execute_reply": "2026-09-20T16:11:36.132594Z" + "iopub.execute_input": "2026-09-20T16:25:21.935063Z", + "iopub.status.busy": "2026-09-20T16:25:21.934945Z", + "iopub.status.idle": "2026-09-20T16:25:24.503073Z", + "shell.execute_reply": "2026-09-20T16:25:24.502507Z" } }, "outputs": [ @@ -279,90 +281,90 @@ " \n", " \n", " Staurosporine\n", - " 18\n", - " 0.601492\n", - " 3.386089e-08\n", - " 0.240157\n", - " 0.131893\n", + " 11\n", + " 0.594844\n", + " 5.546147e-08\n", + " 2.393946e-01\n", + " 0.131876\n", " False\n", - " 1.0\n", + " 1.000000\n", " linear\n", " \n", " \n", - " CLIOQUINOL\n", - " 19\n", - " 0.612883\n", - " 2.123258e-08\n", - " 75.606859\n", - " 0.544927\n", + " Fluazinam\n", + " 11\n", + " 0.572612\n", + " 2.002323e-07\n", + " 1.972621e+01\n", + " 0.378007\n", " False\n", - " 1.0\n", + " 1.000000\n", " logistic\n", " \n", " \n", - " Amperozide\n", - " 18\n", - " 0.520615\n", - " 2.075043e-06\n", - " 45.530173\n", - " 0.530019\n", + " Actinomycin D\n", + " 11\n", + " 0.430955\n", + " 1.153459e-04\n", + " 1.002328e+02\n", + " 0.106392\n", " False\n", - " 1.0\n", + " 0.999999\n", " logistic\n", " \n", " \n", - " Calcipotriol (hydrate)\n", - " 18\n", - " 0.560595\n", - " 2.976855e-07\n", - " 9.933690\n", - " 0.386427\n", + " 5,8,11-Eicosatriynoic acid\n", + " 11\n", + " 0.387009\n", + " 6.077550e-04\n", + " 1.986580e+07\n", + " 0.481170\n", " False\n", - " 1.0\n", - " logistic\n", + " 0.999999\n", + " linear\n", " \n", " \n", - " Cucurbitacin I\n", - " 18\n", - " 0.521179\n", - " 2.075043e-06\n", - " 35.250061\n", - " 0.171161\n", + " FCCP\n", + " 11\n", + " 0.671572\n", + " 2.577580e-10\n", + " 2.211261e+08\n", + " 0.622102\n", " False\n", - " 1.0\n", + " 0.999999\n", " linear\n", " \n", " \n", - " Fluazinam\n", - " 18\n", - " 0.574980\n", - " 1.703180e-07\n", - " 19.725783\n", - " 0.378008\n", + " Cucurbitacin I\n", + " 11\n", + " 0.513971\n", + " 3.047842e-06\n", + " 3.519991e+01\n", + " 0.171159\n", " False\n", - " 1.0\n", - " logistic\n", + " 0.999998\n", + " linear\n", " \n", " \n", - " 5,6-benzoflavone\n", - " 18\n", - " 0.521155\n", - " 2.075043e-06\n", - " 39.100805\n", - " 0.614838\n", + " CLIOQUINOL\n", + " 11\n", + " 0.603440\n", + " 4.385998e-08\n", + " 7.560393e+01\n", + " 0.544926\n", " False\n", - " 1.0\n", + " 0.999998\n", " logistic\n", " \n", " \n", - " Colistin Methanesulfonate (sodium salt)\n", - " 18\n", - " 0.437740\n", - " 8.568403e-05\n", - " 6930.981470\n", - " 0.434041\n", + " 5,6-benzoflavone\n", + " 11\n", + " 0.513853\n", + " 3.047842e-06\n", + " 3.821774e+01\n", + " 0.614839\n", " False\n", - " 1.0\n", + " 0.999997\n", " logistic\n", " \n", " \n", @@ -370,38 +372,27 @@ "" ], "text/plain": [ - " n_doses spearman qvalue \\\n", - "compound \n", - "Staurosporine 18 0.601492 3.386089e-08 \n", - "CLIOQUINOL 19 0.612883 2.123258e-08 \n", - "Amperozide 18 0.520615 2.075043e-06 \n", - "Calcipotriol (hydrate) 18 0.560595 2.976855e-07 \n", - "Cucurbitacin I 18 0.521179 2.075043e-06 \n", - "Fluazinam 18 0.574980 1.703180e-07 \n", - "5,6-benzoflavone 18 0.521155 2.075043e-06 \n", - "Colistin Methanesulfonate (sodium salt) 18 0.437740 8.568403e-05 \n", - "\n", - " ec50 r_squared fit_ok \\\n", - "compound \n", - "Staurosporine 0.240157 0.131893 False \n", - "CLIOQUINOL 75.606859 0.544927 False \n", - "Amperozide 45.530173 0.530019 False \n", - "Calcipotriol (hydrate) 9.933690 0.386427 False \n", - "Cucurbitacin I 35.250061 0.171161 False \n", - "Fluazinam 19.725783 0.378008 False \n", - "5,6-benzoflavone 39.100805 0.614838 False \n", - "Colistin Methanesulfonate (sodium salt) 6930.981470 0.434041 False \n", + " n_doses spearman qvalue ec50 \\\n", + "compound \n", + "Staurosporine 11 0.594844 5.546147e-08 2.393946e-01 \n", + "Fluazinam 11 0.572612 2.002323e-07 1.972621e+01 \n", + "Actinomycin D 11 0.430955 1.153459e-04 1.002328e+02 \n", + "5,8,11-Eicosatriynoic acid 11 0.387009 6.077550e-04 1.986580e+07 \n", + "FCCP 11 0.671572 2.577580e-10 2.211261e+08 \n", + "Cucurbitacin I 11 0.513971 3.047842e-06 3.519991e+01 \n", + "CLIOQUINOL 11 0.603440 4.385998e-08 7.560393e+01 \n", + "5,6-benzoflavone 11 0.513853 3.047842e-06 3.821774e+01 \n", "\n", - " hitcall hitcall_model \n", - "compound \n", - "Staurosporine 1.0 linear \n", - "CLIOQUINOL 1.0 logistic \n", - "Amperozide 1.0 logistic \n", - "Calcipotriol (hydrate) 1.0 logistic \n", - "Cucurbitacin I 1.0 linear \n", - "Fluazinam 1.0 logistic \n", - "5,6-benzoflavone 1.0 logistic \n", - "Colistin Methanesulfonate (sodium salt) 1.0 logistic " + " r_squared fit_ok hitcall hitcall_model \n", + "compound \n", + "Staurosporine 0.131876 False 1.000000 linear \n", + "Fluazinam 0.378007 False 1.000000 logistic \n", + "Actinomycin D 0.106392 False 0.999999 logistic \n", + "5,8,11-Eicosatriynoic acid 0.481170 False 0.999999 linear \n", + "FCCP 0.622102 False 0.999999 linear \n", + "Cucurbitacin I 0.171159 False 0.999998 linear \n", + "CLIOQUINOL 0.544926 False 0.999998 logistic \n", + "5,6-benzoflavone 0.614839 False 0.999997 logistic " ] }, "execution_count": 5, @@ -410,7 +401,7 @@ } ], "source": [ - "mt.tl.dose_response(heparg, compound_key=\"Metadata_Compound\", dose_key=\"Metadata_Concentration\", min_doses=4)\n", + "mt.tl.dose_response(heparg, compound_key=\"Metadata_Compound\", dose_key=\"Metadata_ConcentrationRounded\", min_doses=4)\n", "curves = heparg.uns[\"mantispy\"][\"dose_response\"].set_index(\"compound\")\n", "curves = curves[curves.index.astype(str) != \"DMSO\"]\n", "curves.sort_values(\"hitcall\", ascending=False).head(8)[\n", @@ -445,16 +436,16 @@ "id": "2f812053", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:11:36.134677Z", - "iopub.status.busy": "2026-09-20T16:11:36.134560Z", - "iopub.status.idle": "2026-09-20T16:11:36.782347Z", - "shell.execute_reply": "2026-09-20T16:11:36.781696Z" + "iopub.execute_input": "2026-09-20T16:25:24.504841Z", + "iopub.status.busy": "2026-09-20T16:25:24.504710Z", + "iopub.status.idle": "2026-09-20T16:25:25.098621Z", + "shell.execute_reply": "2026-09-20T16:25:25.098024Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -493,16 +484,16 @@ "id": "f7852d4b", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:11:36.783946Z", - "iopub.status.busy": "2026-09-20T16:11:36.783831Z", - "iopub.status.idle": "2026-09-20T16:11:36.897576Z", - "shell.execute_reply": "2026-09-20T16:11:36.896973Z" + "iopub.execute_input": "2026-09-20T16:25:25.100264Z", + "iopub.status.busy": "2026-09-20T16:25:25.100118Z", + "iopub.status.idle": "2026-09-20T16:25:25.208989Z", + "shell.execute_reply": "2026-09-20T16:25:25.208338Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -539,10 +530,10 @@ "id": "defe9869", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:11:36.899400Z", - "iopub.status.busy": "2026-09-20T16:11:36.899253Z", - "iopub.status.idle": "2026-09-20T16:11:39.525065Z", - "shell.execute_reply": "2026-09-20T16:11:39.524409Z" + "iopub.execute_input": "2026-09-20T16:25:25.210462Z", + "iopub.status.busy": "2026-09-20T16:25:25.210343Z", + "iopub.status.idle": "2026-09-20T16:25:27.640173Z", + "shell.execute_reply": "2026-09-20T16:25:27.639461Z" } }, "outputs": [ @@ -550,7 +541,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_99356/2041206685.py:7: UserWarning: 280 of 289 groups have fewer than three rows, so their statistic is the median of one or two wells. Aggregate more replicates, or score activity with mt.tl.map(mode='activity'), which ranks replicate pairs and is built for screens with little replication.\n", + "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_24608/3304774633.py:7: UserWarning: 280 of 289 groups have fewer than three rows, so their statistic is the median of one or two wells. Aggregate more replicates, or score activity with mt.tl.map(mode='activity'), which ranks replicate pairs and is built for screens with little replication.\n", " mt.tl.hit_calling(u2os, groupby=\"Metadata_Perturbation\", use_rep=\"X_pca\", n_permutations=300)\n" ] }, @@ -558,12 +549,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "28 shared compounds, 61% called the same way in both\n" + "28 shared compounds, 57% called the same way in both\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -580,7 +571,7 @@ "u2os = mt.pp.subset_features(u2os)\n", "sc.pp.pca(u2os, n_comps=20)\n", "mt.tl.hit_calling(u2os, groupby=\"Metadata_Perturbation\", use_rep=\"X_pca\", n_permutations=300)\n", - "mt.tl.dose_response(u2os, compound_key=\"Metadata_Compound\", dose_key=\"Metadata_Concentration\", min_doses=4)\n", + "mt.tl.dose_response(u2os, compound_key=\"Metadata_Compound\", dose_key=\"Metadata_ConcentrationRounded\", min_doses=4)\n", "\n", "other = u2os.uns[\"mantispy\"][\"dose_response\"].set_index(\"compound\")\n", "both = pd.DataFrame({\"U2OS\": other[\"hitcall\"], \"HepaRG\": curves[\"hitcall\"]}).dropna()\n", diff --git a/spec/schema-1.0.json b/spec/schema-1.0.json index 645a757..d1d3db1 100644 --- a/spec/schema-1.0.json +++ b/spec/schema-1.0.json @@ -21,6 +21,7 @@ "Metadata_Perturbation", "Metadata_Compound", "Metadata_Concentration", + "Metadata_ConcentrationRounded", "Metadata_MOA", "Metadata_CellLine", "Metadata_Control", diff --git a/src/mantispy/_core/schema.py b/src/mantispy/_core/schema.py index 3a276a6..3f00a01 100644 --- a/src/mantispy/_core/schema.py +++ b/src/mantispy/_core/schema.py @@ -47,6 +47,8 @@ "Metadata_Perturbation", "Metadata_Compound", "Metadata_Concentration", + # The dose a well was meant to get, where a plate map records the same one to several precisions. + "Metadata_ConcentrationRounded", "Metadata_MOA", "Metadata_CellLine", "Metadata_Control", diff --git a/src/mantispy/ds/_datasets.py b/src/mantispy/ds/_datasets.py index cc2c0d2..b11e8b9 100644 --- a/src/mantispy/ds/_datasets.py +++ b/src/mantispy/ds/_datasets.py @@ -421,6 +421,33 @@ def chroma(cache_dir: str | Path | None = None, **kwargs: Any) -> AnnData: } +#: Doses closer than this are one nominal concentration a plate map wrote to two precisions. +_DOSE_TOLERANCE = 0.01 + + +def _aligned_doses(doses: pd.Series) -> list[float]: + """The dose each well was meant to get, where plate maps record one concentration to several precisions. + + Two of the OASIS plate maps write the dose to three decimals and the rest to four, so one concentration + arrives as both ``3.704`` and ``3.7037``. Anything grouping by dose then splits a compound's replicates + across two levels, and :func:`~mantispy.tl.dose_response` reports more distinct doses than were plated. + Levels within ``_DOSE_TOLERANCE`` of each other are one level, named by the value the most wells carry. + Rounding cannot do this: no fixed precision separates the pairs that differ from those that do not. + """ + counts = doses.value_counts() + levels = np.sort(counts.index.to_numpy(dtype=float)) + # A relative tolerance says nothing about an undosed well, so zero is its own level and passes through. + levels = levels[levels > 0] + lookup: dict[float, float] = {} + start = 0 + for index in range(1, len(levels) + 1): + if index == len(levels) or levels[index] / levels[index - 1] - 1 >= _DOSE_TOLERANCE: + run = levels[start:index] + lookup.update(dict.fromkeys(run, max(run, key=lambda level: (counts[level], level)))) + start = index + return [lookup.get(dose, dose) for dose in doses] + + def _oasis_platemaps(cache_dir: str | Path | None) -> pd.DataFrame: """The plate maps of every OASIS batch, read down to plate, well, compound and concentration.""" frames = [] @@ -447,6 +474,7 @@ def _oasis_platemaps(cache_dir: str | Path | None) -> pd.DataFrame: frames.append(kept) platemap = pd.concat(frames, ignore_index=True) platemap["Metadata_Concentration"] = pd.to_numeric(platemap["Metadata_Concentration"], errors="coerce") + platemap["Metadata_ConcentrationRounded"] = _aligned_doses(platemap["Metadata_Concentration"]) # One batch writes the line as HepRG and the others as HepaRG; two spellings would split every per-line grouping. platemap["Metadata_CellLine"] = platemap["Metadata_CellLine"].replace({"HepRG": "HepaRG"}) return platemap @@ -477,6 +505,11 @@ def oasis_pilot(annotate: bool = True, cache_dir: str | Path | None = None, **kw The assay-development batch doses DMSO itself, so a control well there carries a concentration. ``Metadata_Control`` marks the compound, not the dose. + + Two of the plate maps write the dose to three decimals and the rest to four, so one concentration is + recorded as both ``3.704`` and ``3.7037``. ``Metadata_Concentration`` keeps what was recorded; + ``Metadata_ConcentrationRounded`` puts the levels that agree to within 1% onto the value the most wells + carry, and names the replicate groups. Group by the raw column and a treatment's wells split in two. """ adata = _profiles("oasis_pilot", cache_dir, select=lambda name: name.endswith(".csv.gz"), **kwargs) if not annotate: @@ -489,15 +522,18 @@ def oasis_pilot(annotate: bool = True, cache_dir: str | Path | None = None, **kw get_logger().warning("oasis_pilot: %d of %d wells have no plate-map row", unmatched, len(merged)) adata.obs["Metadata_Compound"] = merged["Metadata_Compound"].to_numpy() adata.obs["Metadata_Concentration"] = merged["Metadata_Concentration"].to_numpy(dtype=float) + adata.obs["Metadata_ConcentrationRounded"] = merged["Metadata_ConcentrationRounded"].to_numpy(dtype=float) adata.obs["Metadata_CellLine"] = merged["Metadata_CellLine"].to_numpy() adata.obs["Metadata_Control"] = merged["Metadata_Compound"].astype(str).str.upper().eq("DMSO").to_numpy() # Replicates share a compound at a concentration, which is what the mode= shorthands of mt.tl.map compare. + # The aligned dose names the group: on the raw one, the wells of a single treatment split across the two + # precisions its plate map used, leaving most groups with too few wells to be replicates of anything. is_control = np.asarray(adata.obs["Metadata_Control"], dtype=bool) adata.obs["Metadata_Perturbation"] = pd.Categorical( np.where( is_control, "DMSO", - merged["Metadata_Compound"].astype(str) + "@" + merged["Metadata_Concentration"].astype(str), + merged["Metadata_Compound"].astype(str) + "@" + merged["Metadata_ConcentrationRounded"].astype(str), ) ) get_logger().info( diff --git a/tests/test_datasets_oasis.py b/tests/test_datasets_oasis.py index 7188a73..17b1d49 100644 --- a/tests/test_datasets_oasis.py +++ b/tests/test_datasets_oasis.py @@ -38,6 +38,28 @@ def test_the_dose_range_survives_the_join(oasis): assert np.isfinite(treated["Metadata_Concentration"].to_numpy(dtype=float)).all() +@pytest.mark.network +def test_one_concentration_written_twice_is_one_dose(oasis): + """Two plate maps write the dose to three decimals and the rest to four, so 3.704 and 3.7037 are one level.""" + obs = oasis.obs + raw = obs["Metadata_Concentration"].to_numpy(dtype=float) + aligned = obs["Metadata_ConcentrationRounded"].to_numpy(dtype=float) + usable = np.isfinite(raw) & (raw > 0) + + levels = np.unique(aligned[usable]) + close = [(a, b) for a, b in zip(levels, levels[1:], strict=False) if b / a - 1 < 0.01] + assert not close, "two levels within 1% of each other are one dose written twice" + assert len(levels) < len(np.unique(raw[usable])) + # The dose a well was meant to get is one it was recorded at, never an average of two. + assert set(levels) <= set(np.unique(raw[usable])) + assert np.max(np.abs(aligned[usable] / raw[usable] - 1)) < 0.01, "no well moves more than the tolerance" + + # Replicates of one treatment land in one group, which is what hit_calling and tl.map count. + treated = obs[~obs["Metadata_Control"]] + sizes = treated["Metadata_Perturbation"].astype(str).value_counts() + assert int((sizes < 3).sum()) < len(sizes) // 4, "most treatments keep three or more wells" + + @pytest.mark.network def test_annotate_false_leaves_the_profiles_alone(oasis): raw = mt.ds.oasis_pilot(annotate=False) From 93a653c0811621adf3d3029cd53d2cef1f884039 Mon Sep 17 00:00:00 2001 From: anon Date: Sun, 20 Sep 2026 18:51:04 +0200 Subject: [PATCH 5/5] Call the aligned dose nominal, and read it everywhere it is meant The column is produced by clustering levels within a tolerance, not by rounding, so Metadata_ConcentrationNominal says what it holds. Two places still read the raw column and should not have: the loader's summary log counted the split levels it exists to correct, and the tutorial drew wells against raw doses beside a curve fitted on aligned ones. _aligned_doses splits the sorted levels at the gaps rather than walking them with an index, and maps through Series.replace as the cell-line fixup beside it does. --- docs/datasets/oasis_pilot.ipynb | 62 ++++++++++----------- docs/tutorials/11_dose_response.ipynb | 80 +++++++++++++-------------- spec/schema-1.0.json | 2 +- src/mantispy/_core/schema.py | 2 +- src/mantispy/ds/_datasets.py | 25 +++------ src/mantispy/pl/_hits.py | 3 +- tests/test_datasets_oasis.py | 31 +++++++---- tests/test_pl_hits.py | 4 +- 8 files changed, 104 insertions(+), 105 deletions(-) diff --git a/docs/datasets/oasis_pilot.ipynb b/docs/datasets/oasis_pilot.ipynb index 22a494a..cfa25f7 100644 --- a/docs/datasets/oasis_pilot.ipynb +++ b/docs/datasets/oasis_pilot.ipynb @@ -24,10 +24,10 @@ "id": "389f4a08", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:27:41.046319Z", - "iopub.status.busy": "2026-09-20T16:27:41.046197Z", - "iopub.status.idle": "2026-09-20T16:27:45.492284Z", - "shell.execute_reply": "2026-09-20T16:27:45.491530Z" + "iopub.execute_input": "2026-09-20T16:48:44.532632Z", + "iopub.status.busy": "2026-09-20T16:48:44.532491Z", + "iopub.status.idle": "2026-09-20T16:48:49.039752Z", + "shell.execute_reply": "2026-09-20T16:48:49.039288Z" } }, "outputs": [ @@ -43,7 +43,7 @@ "data": { "text/plain": [ "AnnData object with n_obs × n_vars = 4604 × 99\n", - " obs: 'Metadata_plate_map_name', 'Metadata_Plate', 'Metadata_Well', 'Metadata_Site_Count', 'Metadata_Count_Cells', 'Metadata_Count_CellsIncludingEdges', 'Metadata_Count_Cytoplasm', 'Metadata_Count_Nuclei', 'Metadata_Count_NucleiIncludingEdges', 'Metadata_Object_Count', 'Metadata_CellCount', 'Metadata_SiteCount', 'Metadata_Compound', 'Metadata_Concentration', 'Metadata_ConcentrationRounded', 'Metadata_CellLine', 'Metadata_Control', 'Metadata_Perturbation'\n", + " obs: 'Metadata_plate_map_name', 'Metadata_Plate', 'Metadata_Well', 'Metadata_Site_Count', 'Metadata_Count_Cells', 'Metadata_Count_CellsIncludingEdges', 'Metadata_Count_Cytoplasm', 'Metadata_Count_Nuclei', 'Metadata_Count_NucleiIncludingEdges', 'Metadata_Object_Count', 'Metadata_CellCount', 'Metadata_SiteCount', 'Metadata_Compound', 'Metadata_Concentration', 'Metadata_ConcentrationNominal', 'Metadata_CellLine', 'Metadata_Control', 'Metadata_Perturbation'\n", " var: 'object', 'feature_group', 'feature', 'channel', 'scale', 'angle', 'gray_levels', 'radial_bin', 'params', 'is_feature'\n", " uns: 'mantispy'\n", " layers: None (.X)" @@ -88,10 +88,10 @@ "id": "14c9f7db", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:27:45.493818Z", - "iopub.status.busy": "2026-09-20T16:27:45.493672Z", - "iopub.status.idle": "2026-09-20T16:27:45.515407Z", - "shell.execute_reply": "2026-09-20T16:27:45.514851Z" + "iopub.execute_input": "2026-09-20T16:48:49.041263Z", + "iopub.status.busy": "2026-09-20T16:48:49.041132Z", + "iopub.status.idle": "2026-09-20T16:48:49.064483Z", + "shell.execute_reply": "2026-09-20T16:48:49.063913Z" } }, "outputs": [ @@ -287,10 +287,10 @@ "id": "eee4a087", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:27:45.517069Z", - "iopub.status.busy": "2026-09-20T16:27:45.516946Z", - "iopub.status.idle": "2026-09-20T16:27:45.701490Z", - "shell.execute_reply": "2026-09-20T16:27:45.700874Z" + "iopub.execute_input": "2026-09-20T16:48:49.066515Z", + "iopub.status.busy": "2026-09-20T16:48:49.066375Z", + "iopub.status.idle": "2026-09-20T16:48:49.250909Z", + "shell.execute_reply": "2026-09-20T16:48:49.250274Z" } }, "outputs": [ @@ -352,10 +352,10 @@ "id": "b653a03e", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:27:45.703230Z", - "iopub.status.busy": "2026-09-20T16:27:45.703099Z", - "iopub.status.idle": "2026-09-20T16:27:45.962179Z", - "shell.execute_reply": "2026-09-20T16:27:45.961616Z" + "iopub.execute_input": "2026-09-20T16:48:49.252605Z", + "iopub.status.busy": "2026-09-20T16:48:49.252473Z", + "iopub.status.idle": "2026-09-20T16:48:49.518298Z", + "shell.execute_reply": "2026-09-20T16:48:49.517672Z" } }, "outputs": [ @@ -401,10 +401,10 @@ "id": "43250f1c", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:27:45.963846Z", - "iopub.status.busy": "2026-09-20T16:27:45.963732Z", - "iopub.status.idle": "2026-09-20T16:27:46.161497Z", - "shell.execute_reply": "2026-09-20T16:27:46.160646Z" + "iopub.execute_input": "2026-09-20T16:48:49.519896Z", + "iopub.status.busy": "2026-09-20T16:48:49.519775Z", + "iopub.status.idle": "2026-09-20T16:48:49.718562Z", + "shell.execute_reply": "2026-09-20T16:48:49.717905Z" } }, "outputs": [ @@ -459,7 +459,7 @@ "`groupby` splits a treatment's wells across the two spellings, and {func}`~mantispy.tl.dose_response`\n", "reports more distinct doses than were ever plated.\n", "\n", - "`Metadata_Concentration` keeps what each plate map recorded. `Metadata_ConcentrationRounded` is derived from\n", + "`Metadata_Concentration` keeps what each plate map recorded. `Metadata_ConcentrationNominal` is derived from\n", "it in the loader: levels that agree to within 1% are one level, named by the value the most wells carry, so\n", "every dose it holds is one that was actually written down rather than an average of two. It names\n", "`Metadata_Perturbation`, so replicates of a treatment stay in one group." @@ -471,10 +471,10 @@ "id": "47b37e6a", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:27:46.163312Z", - "iopub.status.busy": "2026-09-20T16:27:46.163178Z", - "iopub.status.idle": "2026-09-20T16:27:46.171117Z", - "shell.execute_reply": "2026-09-20T16:27:46.170613Z" + "iopub.execute_input": "2026-09-20T16:48:49.720212Z", + "iopub.status.busy": "2026-09-20T16:48:49.720069Z", + "iopub.status.idle": "2026-09-20T16:48:49.728145Z", + "shell.execute_reply": "2026-09-20T16:48:49.727453Z" } }, "outputs": [ @@ -558,7 +558,7 @@ ], "source": [ "raw = obs[\"Metadata_Concentration\"].to_numpy(dtype=float)\n", - "aligned = obs[\"Metadata_ConcentrationRounded\"].to_numpy(dtype=float)\n", + "aligned = obs[\"Metadata_ConcentrationNominal\"].to_numpy(dtype=float)\n", "dosed = np.isfinite(raw) & (raw > 0)\n", "\n", "print(f\"distinct doses: {len(np.unique(raw[dosed]))} recorded, {len(np.unique(aligned[dosed]))} after aligning\")\n", @@ -586,10 +586,10 @@ "id": "02184bd2", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:27:46.172738Z", - "iopub.status.busy": "2026-09-20T16:27:46.172623Z", - "iopub.status.idle": "2026-09-20T16:27:46.581662Z", - "shell.execute_reply": "2026-09-20T16:27:46.581148Z" + "iopub.execute_input": "2026-09-20T16:48:49.730066Z", + "iopub.status.busy": "2026-09-20T16:48:49.729935Z", + "iopub.status.idle": "2026-09-20T16:48:50.144387Z", + "shell.execute_reply": "2026-09-20T16:48:50.143765Z" } }, "outputs": [ diff --git a/docs/tutorials/11_dose_response.ipynb b/docs/tutorials/11_dose_response.ipynb index 724ee88..4788d7d 100644 --- a/docs/tutorials/11_dose_response.ipynb +++ b/docs/tutorials/11_dose_response.ipynb @@ -25,10 +25,10 @@ "id": "bac81e87", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:25:00.750633Z", - "iopub.status.busy": "2026-09-20T16:25:00.750500Z", - "iopub.status.idle": "2026-09-20T16:25:08.535689Z", - "shell.execute_reply": "2026-09-20T16:25:08.534789Z" + "iopub.execute_input": "2026-09-20T16:48:16.773977Z", + "iopub.status.busy": "2026-09-20T16:48:16.773857Z", + "iopub.status.idle": "2026-09-20T16:48:22.265775Z", + "shell.execute_reply": "2026-09-20T16:48:22.264965Z" } }, "outputs": [ @@ -44,7 +44,7 @@ "data": { "text/plain": [ "AnnData object with n_obs × n_vars = 2831 × 99\n", - " obs: 'Metadata_plate_map_name', 'Metadata_Plate', 'Metadata_Well', 'Metadata_Site_Count', 'Metadata_Count_Cells', 'Metadata_Count_CellsIncludingEdges', 'Metadata_Count_Cytoplasm', 'Metadata_Count_Nuclei', 'Metadata_Count_NucleiIncludingEdges', 'Metadata_Object_Count', 'Metadata_CellCount', 'Metadata_SiteCount', 'Metadata_Compound', 'Metadata_Concentration', 'Metadata_ConcentrationRounded', 'Metadata_CellLine', 'Metadata_Control', 'Metadata_Perturbation'\n", + " obs: 'Metadata_plate_map_name', 'Metadata_Plate', 'Metadata_Well', 'Metadata_Site_Count', 'Metadata_Count_Cells', 'Metadata_Count_CellsIncludingEdges', 'Metadata_Count_Cytoplasm', 'Metadata_Count_Nuclei', 'Metadata_Count_NucleiIncludingEdges', 'Metadata_Object_Count', 'Metadata_CellCount', 'Metadata_SiteCount', 'Metadata_Compound', 'Metadata_Concentration', 'Metadata_ConcentrationNominal', 'Metadata_CellLine', 'Metadata_Control', 'Metadata_Perturbation'\n", " var: 'object', 'feature_group', 'feature', 'channel', 'scale', 'angle', 'gray_levels', 'radial_bin', 'params', 'is_feature'\n", " uns: 'mantispy'\n", " layers: None (.X)" @@ -87,10 +87,10 @@ "id": "58b04c93", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:25:08.537581Z", - "iopub.status.busy": "2026-09-20T16:25:08.537347Z", - "iopub.status.idle": "2026-09-20T16:25:08.903910Z", - "shell.execute_reply": "2026-09-20T16:25:08.903404Z" + "iopub.execute_input": "2026-09-20T16:48:22.267672Z", + "iopub.status.busy": "2026-09-20T16:48:22.267534Z", + "iopub.status.idle": "2026-09-20T16:48:22.632366Z", + "shell.execute_reply": "2026-09-20T16:48:22.631699Z" } }, "outputs": [ @@ -127,10 +127,10 @@ "id": "8e9ef049", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:25:08.905738Z", - "iopub.status.busy": "2026-09-20T16:25:08.905507Z", - "iopub.status.idle": "2026-09-20T16:25:21.235477Z", - "shell.execute_reply": "2026-09-20T16:25:21.234952Z" + "iopub.execute_input": "2026-09-20T16:48:22.634338Z", + "iopub.status.busy": "2026-09-20T16:48:22.634192Z", + "iopub.status.idle": "2026-09-20T16:48:34.620786Z", + "shell.execute_reply": "2026-09-20T16:48:34.620067Z" } }, "outputs": [ @@ -138,7 +138,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_24608/992733786.py:7: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_63203/992733786.py:7: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", " plt.tight_layout()\n" ] }, @@ -184,10 +184,10 @@ "id": "e0c13226", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:25:21.239811Z", - "iopub.status.busy": "2026-09-20T16:25:21.239687Z", - "iopub.status.idle": "2026-09-20T16:25:21.933455Z", - "shell.execute_reply": "2026-09-20T16:25:21.932947Z" + "iopub.execute_input": "2026-09-20T16:48:34.624656Z", + "iopub.status.busy": "2026-09-20T16:48:34.624511Z", + "iopub.status.idle": "2026-09-20T16:48:35.337463Z", + "shell.execute_reply": "2026-09-20T16:48:35.336787Z" } }, "outputs": [ @@ -214,7 +214,7 @@ "metadata": {}, "source": [ "HepaRG carries eight wells at each concentration, so a per-group statistic here rests on eight wells rather\n", - "than one. That holds only because `Metadata_Perturbation` is named by `Metadata_ConcentrationRounded`: two of\n", + "than one. That holds only because `Metadata_Perturbation` is named by `Metadata_ConcentrationNominal`: two of\n", "this accession's plate maps write the dose to three decimals and the rest to four, and on the raw column a\n", "treatment's wells split across the two spellings. U2OS is two plates rather than eight, and there most groups\n", "really do hold one or two wells, which is the trade a plate map makes: concentrations instead of replicates. It is also why the next step is a curve rather than a table of per-concentration tests — a fit reads\n", @@ -229,10 +229,10 @@ "id": "a5fdbb04", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:25:21.935063Z", - "iopub.status.busy": "2026-09-20T16:25:21.934945Z", - "iopub.status.idle": "2026-09-20T16:25:24.503073Z", - "shell.execute_reply": "2026-09-20T16:25:24.502507Z" + "iopub.execute_input": "2026-09-20T16:48:35.339521Z", + "iopub.status.busy": "2026-09-20T16:48:35.339378Z", + "iopub.status.idle": "2026-09-20T16:48:37.945464Z", + "shell.execute_reply": "2026-09-20T16:48:37.944783Z" } }, "outputs": [ @@ -401,7 +401,7 @@ } ], "source": [ - "mt.tl.dose_response(heparg, compound_key=\"Metadata_Compound\", dose_key=\"Metadata_ConcentrationRounded\", min_doses=4)\n", + "mt.tl.dose_response(heparg, compound_key=\"Metadata_Compound\", dose_key=\"Metadata_ConcentrationNominal\", min_doses=4)\n", "curves = heparg.uns[\"mantispy\"][\"dose_response\"].set_index(\"compound\")\n", "curves = curves[curves.index.astype(str) != \"DMSO\"]\n", "curves.sort_values(\"hitcall\", ascending=False).head(8)[\n", @@ -436,16 +436,16 @@ "id": "2f812053", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:25:24.504841Z", - "iopub.status.busy": "2026-09-20T16:25:24.504710Z", - "iopub.status.idle": "2026-09-20T16:25:25.098621Z", - "shell.execute_reply": "2026-09-20T16:25:25.098024Z" + "iopub.execute_input": "2026-09-20T16:48:37.947397Z", + "iopub.status.busy": "2026-09-20T16:48:37.947236Z", + "iopub.status.idle": "2026-09-20T16:48:38.553549Z", + "shell.execute_reply": "2026-09-20T16:48:38.552892Z" } }, "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -457,7 +457,7 @@ "source": [ "fig, axes = plt.subplots(1, 3, figsize=(12, 3.4))\n", "for ax, compound in zip(axes, [\"Staurosporine\", \"Berberine chloride\", \"MUPIROCIN\"], strict=False):\n", - " mt.pl.dose_response(heparg, compound=compound, ax=ax)\n", + " mt.pl.dose_response(heparg, compound=compound, dose_key=\"Metadata_ConcentrationNominal\", ax=ax)\n", " ax.set_title(f\"{compound} — hit call {curves['hitcall'].get(compound, float('nan')):.2f}\")\n", "fig.tight_layout()" ] @@ -484,10 +484,10 @@ "id": "f7852d4b", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:25:25.100264Z", - "iopub.status.busy": "2026-09-20T16:25:25.100118Z", - "iopub.status.idle": "2026-09-20T16:25:25.208989Z", - "shell.execute_reply": "2026-09-20T16:25:25.208338Z" + "iopub.execute_input": "2026-09-20T16:48:38.555302Z", + "iopub.status.busy": "2026-09-20T16:48:38.555171Z", + "iopub.status.idle": "2026-09-20T16:48:38.668637Z", + "shell.execute_reply": "2026-09-20T16:48:38.668064Z" } }, "outputs": [ @@ -530,10 +530,10 @@ "id": "defe9869", "metadata": { "execution": { - "iopub.execute_input": "2026-09-20T16:25:25.210462Z", - "iopub.status.busy": "2026-09-20T16:25:25.210343Z", - "iopub.status.idle": "2026-09-20T16:25:27.640173Z", - "shell.execute_reply": "2026-09-20T16:25:27.639461Z" + "iopub.execute_input": "2026-09-20T16:48:38.670322Z", + "iopub.status.busy": "2026-09-20T16:48:38.670197Z", + "iopub.status.idle": "2026-09-20T16:48:41.180518Z", + "shell.execute_reply": "2026-09-20T16:48:41.180000Z" } }, "outputs": [ @@ -541,7 +541,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_24608/3304774633.py:7: UserWarning: 280 of 289 groups have fewer than three rows, so their statistic is the median of one or two wells. Aggregate more replicates, or score activity with mt.tl.map(mode='activity'), which ranks replicate pairs and is built for screens with little replication.\n", + "/var/folders/qg/qgc908995g3fc8qtss2fsbhhxyxxj4/T/ipykernel_63203/443386283.py:7: UserWarning: 280 of 289 groups have fewer than three rows, so their statistic is the median of one or two wells. Aggregate more replicates, or score activity with mt.tl.map(mode='activity'), which ranks replicate pairs and is built for screens with little replication.\n", " mt.tl.hit_calling(u2os, groupby=\"Metadata_Perturbation\", use_rep=\"X_pca\", n_permutations=300)\n" ] }, @@ -571,7 +571,7 @@ "u2os = mt.pp.subset_features(u2os)\n", "sc.pp.pca(u2os, n_comps=20)\n", "mt.tl.hit_calling(u2os, groupby=\"Metadata_Perturbation\", use_rep=\"X_pca\", n_permutations=300)\n", - "mt.tl.dose_response(u2os, compound_key=\"Metadata_Compound\", dose_key=\"Metadata_ConcentrationRounded\", min_doses=4)\n", + "mt.tl.dose_response(u2os, compound_key=\"Metadata_Compound\", dose_key=\"Metadata_ConcentrationNominal\", min_doses=4)\n", "\n", "other = u2os.uns[\"mantispy\"][\"dose_response\"].set_index(\"compound\")\n", "both = pd.DataFrame({\"U2OS\": other[\"hitcall\"], \"HepaRG\": curves[\"hitcall\"]}).dropna()\n", diff --git a/spec/schema-1.0.json b/spec/schema-1.0.json index d1d3db1..6251c03 100644 --- a/spec/schema-1.0.json +++ b/spec/schema-1.0.json @@ -21,7 +21,7 @@ "Metadata_Perturbation", "Metadata_Compound", "Metadata_Concentration", - "Metadata_ConcentrationRounded", + "Metadata_ConcentrationNominal", "Metadata_MOA", "Metadata_CellLine", "Metadata_Control", diff --git a/src/mantispy/_core/schema.py b/src/mantispy/_core/schema.py index 3f00a01..cb962ee 100644 --- a/src/mantispy/_core/schema.py +++ b/src/mantispy/_core/schema.py @@ -48,7 +48,7 @@ "Metadata_Compound", "Metadata_Concentration", # The dose a well was meant to get, where a plate map records the same one to several precisions. - "Metadata_ConcentrationRounded", + "Metadata_ConcentrationNominal", "Metadata_MOA", "Metadata_CellLine", "Metadata_Control", diff --git a/src/mantispy/ds/_datasets.py b/src/mantispy/ds/_datasets.py index b11e8b9..06ddd23 100644 --- a/src/mantispy/ds/_datasets.py +++ b/src/mantispy/ds/_datasets.py @@ -425,7 +425,7 @@ def chroma(cache_dir: str | Path | None = None, **kwargs: Any) -> AnnData: _DOSE_TOLERANCE = 0.01 -def _aligned_doses(doses: pd.Series) -> list[float]: +def _aligned_doses(doses: pd.Series) -> pd.Series: """The dose each well was meant to get, where plate maps record one concentration to several precisions. Two of the OASIS plate maps write the dose to three decimals and the rest to four, so one concentration @@ -438,14 +438,9 @@ def _aligned_doses(doses: pd.Series) -> list[float]: levels = np.sort(counts.index.to_numpy(dtype=float)) # A relative tolerance says nothing about an undosed well, so zero is its own level and passes through. levels = levels[levels > 0] - lookup: dict[float, float] = {} - start = 0 - for index in range(1, len(levels) + 1): - if index == len(levels) or levels[index] / levels[index - 1] - 1 >= _DOSE_TOLERANCE: - run = levels[start:index] - lookup.update(dict.fromkeys(run, max(run, key=lambda level: (counts[level], level)))) - start = index - return [lookup.get(dose, dose) for dose in doses] + runs = np.split(levels, np.flatnonzero(levels[1:] / levels[:-1] - 1 >= _DOSE_TOLERANCE) + 1) + lookup = {level: max(run, key=lambda value: (counts[value], value)) for run in runs for level in run} + return doses.replace(lookup) def _oasis_platemaps(cache_dir: str | Path | None) -> pd.DataFrame: @@ -474,7 +469,7 @@ def _oasis_platemaps(cache_dir: str | Path | None) -> pd.DataFrame: frames.append(kept) platemap = pd.concat(frames, ignore_index=True) platemap["Metadata_Concentration"] = pd.to_numeric(platemap["Metadata_Concentration"], errors="coerce") - platemap["Metadata_ConcentrationRounded"] = _aligned_doses(platemap["Metadata_Concentration"]) + platemap["Metadata_ConcentrationNominal"] = _aligned_doses(platemap["Metadata_Concentration"]) # One batch writes the line as HepRG and the others as HepaRG; two spellings would split every per-line grouping. platemap["Metadata_CellLine"] = platemap["Metadata_CellLine"].replace({"HepRG": "HepaRG"}) return platemap @@ -508,7 +503,7 @@ def oasis_pilot(annotate: bool = True, cache_dir: str | Path | None = None, **kw Two of the plate maps write the dose to three decimals and the rest to four, so one concentration is recorded as both ``3.704`` and ``3.7037``. ``Metadata_Concentration`` keeps what was recorded; - ``Metadata_ConcentrationRounded`` puts the levels that agree to within 1% onto the value the most wells + ``Metadata_ConcentrationNominal`` puts the levels that agree to within 1% onto the value the most wells carry, and names the replicate groups. Group by the raw column and a treatment's wells split in two. """ adata = _profiles("oasis_pilot", cache_dir, select=lambda name: name.endswith(".csv.gz"), **kwargs) @@ -522,18 +517,16 @@ def oasis_pilot(annotate: bool = True, cache_dir: str | Path | None = None, **kw get_logger().warning("oasis_pilot: %d of %d wells have no plate-map row", unmatched, len(merged)) adata.obs["Metadata_Compound"] = merged["Metadata_Compound"].to_numpy() adata.obs["Metadata_Concentration"] = merged["Metadata_Concentration"].to_numpy(dtype=float) - adata.obs["Metadata_ConcentrationRounded"] = merged["Metadata_ConcentrationRounded"].to_numpy(dtype=float) + adata.obs["Metadata_ConcentrationNominal"] = merged["Metadata_ConcentrationNominal"].to_numpy(dtype=float) adata.obs["Metadata_CellLine"] = merged["Metadata_CellLine"].to_numpy() adata.obs["Metadata_Control"] = merged["Metadata_Compound"].astype(str).str.upper().eq("DMSO").to_numpy() # Replicates share a compound at a concentration, which is what the mode= shorthands of mt.tl.map compare. - # The aligned dose names the group: on the raw one, the wells of a single treatment split across the two - # precisions its plate map used, leaving most groups with too few wells to be replicates of anything. is_control = np.asarray(adata.obs["Metadata_Control"], dtype=bool) adata.obs["Metadata_Perturbation"] = pd.Categorical( np.where( is_control, "DMSO", - merged["Metadata_Compound"].astype(str) + "@" + merged["Metadata_ConcentrationRounded"].astype(str), + merged["Metadata_Compound"].astype(str) + "@" + merged["Metadata_ConcentrationNominal"].astype(str), ) ) get_logger().info( @@ -541,7 +534,7 @@ def oasis_pilot(annotate: bool = True, cache_dir: str | Path | None = None, **kw adata.n_obs, adata.n_vars, int(merged.loc[~is_control, "Metadata_Compound"].nunique()), - int(merged["Metadata_Concentration"].nunique()), + int(merged["Metadata_ConcentrationNominal"].nunique()), int(is_control.sum()), ) return adata diff --git a/src/mantispy/pl/_hits.py b/src/mantispy/pl/_hits.py index c540448..4fe5e53 100644 --- a/src/mantispy/pl/_hits.py +++ b/src/mantispy/pl/_hits.py @@ -201,7 +201,8 @@ def dose_response( ax: Axes to draw on, or ``None`` for a new figure. Returns: - The axes drawn on. + The axes drawn on, with a log ``y`` scale where every drawn response is positive, since a distance from the controls has a long right tail and one stray well would otherwise flatten the rest onto the baseline. + The scale is decided per axes, so panels drawn side by side can differ; set it on the returned axes to compare them. Raises: KeyError: There is no such table, or it holds no such compound. diff --git a/tests/test_datasets_oasis.py b/tests/test_datasets_oasis.py index 17b1d49..664cc0d 100644 --- a/tests/test_datasets_oasis.py +++ b/tests/test_datasets_oasis.py @@ -4,6 +4,7 @@ import pytest import mantispy as mt +from mantispy.ds._datasets import _DOSE_TOLERANCE @pytest.fixture(scope="module") @@ -43,21 +44,27 @@ def test_one_concentration_written_twice_is_one_dose(oasis): """Two plate maps write the dose to three decimals and the rest to four, so 3.704 and 3.7037 are one level.""" obs = oasis.obs raw = obs["Metadata_Concentration"].to_numpy(dtype=float) - aligned = obs["Metadata_ConcentrationRounded"].to_numpy(dtype=float) - usable = np.isfinite(raw) & (raw > 0) + aligned = obs["Metadata_ConcentrationNominal"].to_numpy(dtype=float) + dosed = raw > 0 - levels = np.unique(aligned[usable]) - close = [(a, b) for a, b in zip(levels, levels[1:], strict=False) if b / a - 1 < 0.01] - assert not close, "two levels within 1% of each other are one dose written twice" - assert len(levels) < len(np.unique(raw[usable])) + levels = np.unique(aligned[dosed]) + gaps = np.diff(levels) / levels[:-1] + assert (gaps >= _DOSE_TOLERANCE).all(), "two levels within the tolerance are one dose written twice" + assert len(levels) < len(np.unique(raw[dosed])), "nothing collapsed" # The dose a well was meant to get is one it was recorded at, never an average of two. - assert set(levels) <= set(np.unique(raw[usable])) - assert np.max(np.abs(aligned[usable] / raw[usable] - 1)) < 0.01, "no well moves more than the tolerance" + assert set(levels) <= set(np.unique(raw[dosed])) + assert np.max(np.abs(aligned[dosed] / raw[dosed] - 1)) < _DOSE_TOLERANCE, "no well moves past the tolerance" - # Replicates of one treatment land in one group, which is what hit_calling and tl.map count. - treated = obs[~obs["Metadata_Control"]] - sizes = treated["Metadata_Perturbation"].astype(str).value_counts() - assert int((sizes < 3).sum()) < len(sizes) // 4, "most treatments keep three or more wells" + +@pytest.mark.network +def test_replicates_of_one_treatment_land_in_one_group(oasis): + """Metadata_Perturbation is named by the aligned dose, so the two spellings do not halve a group.""" + treated = oasis.obs[~oasis.obs["Metadata_Control"]] + sizes = treated.groupby(["Metadata_CellLine", "Metadata_Perturbation"], observed=True).size() + # HepaRG is eight plates, so its treatments carry eight wells each; U2OS is two and genuinely thin. + heparg = sizes.loc["HepaRG"] + assert heparg.median() >= 6, "the eight-plate line should keep its replicates together" + assert int((heparg < 3).sum()) < len(heparg) // 5 @pytest.mark.network diff --git a/tests/test_pl_hits.py b/tests/test_pl_hits.py index ac59054..d5e9661 100644 --- a/tests/test_pl_hits.py +++ b/tests/test_pl_hits.py @@ -157,7 +157,5 @@ def test_one_stray_well_does_not_flatten_the_rest_onto_the_baseline(inhibitor_ad assert mt.pl.dose_response(inhibitor_adata, compound="cpd").get_yscale() == "log" # A response that reaches zero has no log scale to be drawn on. - response = inhibitor_adata.obs["hits_row_distance"].to_numpy(dtype=float).copy() - response[0] = 0.0 - inhibitor_adata.obs["hits_row_distance"] = response + inhibitor_adata.obs.loc[inhibitor_adata.obs.index[0], "hits_row_distance"] = 0.0 assert mt.pl.dose_response(inhibitor_adata, compound="cpd").get_yscale() == "linear"