GSEA Pathway Analyzer Skill

SkillDev tools

Gene Set Enrichment Analysis skill for functional annotation and pathway interpretation

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.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the GSEA Pathway Analyzer Skill skill

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: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: gsea-pathway-analyzer
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter