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pydeseq2

K-Dense-AI
Updated 27 days ago
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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

Recommended
Primary
npx skills add K-Dense-AI/claude-scientific-skills -a claude-code
Plugin CommandAlternative
/plugin add https://github.com/K-Dense-AI/claude-scientific-skills
Git CloneAlternative
git clone https://github.com/K-Dense-AI/claude-scientific-skills.git ~/.claude/skills/pydeseq2

Copy and paste this command in Claude Code to install this skill

GitHub Repository

K-Dense-AI/claude-scientific-skills
Path: scientific-skills/pydeseq2
0
agent-skillsai-scientistbioinformaticschemoinformaticsclaudeclaude-skills

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