Directory / Scientific Agent Skills (K-Dense) / pydeseq2
pydeseq2
Performs bulk RNA-seq differential expression analysis with PyDESeq2, including count validation, formula designs, explicit contrasts, Wald tests, FDR correction, coefficient-matched LFC shrinkage, and result visualization. Use for PyDESeq2 or Python DESeq2 workflows with biological replicates.Description from the SKILL.md front matter.
Information source
Copied from the Scientific Agent Skills (K-Dense) catalog (K-Dense-AI/scientific-agent-skills), maintained by K-Dense Inc..
- SKILL.md:
skills/pydeseq2/SKILL.md
Links are pinned to commit 593377b (2026-10-19), the version we synced. Not reviewed by us.
Install
GitHub CLI v2.90+ (Copilot by default)
gh skill install K-Dense-AI/scientific-agent-skills pydeseq2For Claude Code
gh skill install K-Dense-AI/scientific-agent-skills pydeseq2 --agent claude-codeFor Codex
gh skill install K-Dense-AI/scientific-agent-skills pydeseq2 --agent codexCommands follow each host's documentation (Any Agent Skills host (Claude Code, Codex, Cursor, Gemini CLI, Copilot…) docs). gh skill needs GitHub CLI 2.90 or later and is in public preview.
Listed from K-Dense Inc.'s catalog, not reviewed by us. Read the source before installing.
- Information source
- SKILL.md in K-Dense-AI/scientific-agent-skills
- Author
- K-Dense Inc.
- Source code
- K-Dense-AI/scientific-agent-skills
- License
- MIT
- Repository stars
- 52,882 for K-Dense-AI/scientific-agent-skills (the whole catalog repo)
- Version
- 1.7
- Added to catalog
- Not tracked for this source
- Last change
- 2026-10-19 (last push to the repo)
What it contains
- Skills: 1
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