gseapy-gene-enrichment
CommunityUnlock pathway insights from gene lists.
Authorjaechang-hits
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps researchers interpret large lists of genes from experiments like RNA-seq by identifying the biological pathways or functions that are significantly over-represented or enriched.
Core Features & Use Cases
- Over-Representation Analysis (ORA): Quickly test gene lists against over 200 databases (GO, KEGG, MSigDB) via the Enrichr API.
- Gene Set Enrichment Analysis (GSEA): Perform preranked GSEA on ranked gene lists (e.g., from differential expression analysis) to find enriched pathways.
- Visualization: Generate publication-quality dot plots and GSEA running-score plots.
- Use Case: After identifying differentially expressed genes in a cancer study, use this Skill to find out which known biological pathways (like 'cell cycle' or 'apoptosis') are most affected.
Quick Start
Run over-representation analysis on the provided gene list against the GO Biological Process database.
Dependency Matrix
Required Modules
gseapypandasmatplotlib
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: gseapy-gene-enrichment Download link: https://github.com/jaechang-hits/SciAgent-Skills/archive/main.zip#gseapy-gene-enrichment Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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