pydeseq2
About
PyDESeq2 performs differential gene expression analysis on bulk RNA-seq count data using DESeq2's statistical methods in Python. It handles single or multi-factor experimental designs with Wald tests, FDR correction, and optional apeGLM shrinkage for log fold changes. Use this skill to run complete RNA-seq analysis workflows or convert R-based DESeq2 pipelines to Python.
Quick Install
Claude Code
Recommendednpx skills add K-Dense-AI/claude-scientific-skills -a claude-code/plugin add https://github.com/K-Dense-AI/claude-scientific-skillsgit clone https://github.com/K-Dense-AI/claude-scientific-skills.git ~/.claude/skills/pydeseq2Copy and paste this command in Claude Code to install this skill
GitHub Repository
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