GSEA Pathway Analyzer Skill
SkillDev toolsGene Set Enrichment Analysis skill for functional annotation and pathway interpretation
Use GSEA Pathway Analyzer Skill in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the GSEA Pathway Analyzer Skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/bioinformatics/skills/gsea-pathway-analyzer/SKILL.md and read by Ahel’s review.
Purpose
Enable Gene Set Enrichment Analysis for functional annotation and pathway interpretation.
Capabilities
- Preranked GSEA execution
- Gene ontology enrichment
- KEGG/Reactome pathway analysis
- Custom gene set support
- Leading edge analysis
- Publication-ready visualizations
Usage Guidelines
- Rank genes appropriately for analysis type
- Select relevant gene set collections
- Apply multiple testing correction
- Identify leading edge genes for interpretation
- Generate clear visualizations
- Document gene set versions
Dependencies
- GSEA
- clusterProfiler
- g:Profiler
- Enrichr
Process Integration
- RNA-seq Differential Expression Analysis (rnaseq-differential-expression)
- Single-Cell RNA-seq Analysis (scrnaseq-analysis)
- Multi-Omics Data Integration (multi-omics-integration)
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
gsea-pathway-analyzer- Source
- github.com/a5c-ai/babysitter