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target-identification

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Tepeng0213 / scFM-Perturb-Bench

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scFM-Perturb-Bench: scalable scRNA-seq perturbation & gene-synergy benchmark with Geneformer · GSEA · Scanpy. Audit multi-gene interactions & drug-target potential — GPU/Docker ready foundation-model pipeline.

docker machine-learning bioinformatics deep-learning jupyter-notebook computational-biology pytorch transformer drug-discovery scrna-seq single-cell gsea functional-genomics perturbation scanpy ai-for-science foundation-model target-identification geneformer gene-synergy
  • Updated Apr 23, 2026
  • Jupyter Notebook

Tepeng0213 / AnimaFlow-AI

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AnimaFlow-AI: End-to-end AI drug-discovery methodology hub — single-cell & spatial omics → virtual-cell target ID → multimodal screening (small molecule / peptide / nucleic acid). Case studies: COVID-19, kidney, PD-L1.

machine-learning bioinformatics deep-learning cheminformatics systems-biology jupyter-notebook computational-biology artificial-intelligence drug-discovery single-cell precision-medicine multi-omics pd-l1 spatial-transcriptomics cancer-immunotherapy virtual-cell covid-19 kidney-disease ai-for-science target-identification
  • Updated Jul 13, 2026

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