Streamlining CRISPR Screen Analysis
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Updated
Apr 1, 2026 - Python
Streamlining CRISPR Screen Analysis
An interactive R Shiny app for RNA-seq analysis. Upload a counts matrix and phenotype data to perform differential expression, feature selection (via Random Forest), and pathway enrichment. Generate PCA, UMAP, volcano plots, heatmaps, and enrichment barplots — all without writing a single line of code.
This repository contains scripts and detailed information for microarray-based transcriptomic analysis using NCBI GEO data for the course project.
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