gsea-pathway-analyzer
SolidGene Set Enrichment Analysis skill for functional annotation and pathway interpretation
AI & Automation 1,160 stars
71 forks Updated today MIT
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Skill Content
# GSEA Pathway Analyzer Skill
## 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)
Details
- Author
- a5c-ai
- Repository
- a5c-ai/babysitter
- Created
- 4 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
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