SKILL
pathway-enrichment
https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/pathway-enrichmentSUMMARY
What it does
This skill performs pathway and gene-set enrichment analysis on gene lists or ranked gene data, covering over-representation analysis (ORA), ranked Gene Set Enrichment Analysis (GSEA), and single-sample scoring (ssGSEA/GSVA). It supports multiple gene-set databases and tools including gseapy, g:Profiler, Enrichr, MSigDB, GO, KEGG, Reactome, and WikiPathways. The skill includes guidance on gene-ID mapping, background universe selection, multiple-testing correction, redundancy reduction, visualization, and interpretation. It is intended for use with gene lists from differential expression, CRISPR screens, cluster markers, or proteomics studies.
CAPABILITIES
Capabilities and scope
Evidence-backed capability profile
MACHINE-READABLE ENDPOINTS
How agents read it
ACCESS
Access requirements
- Protocols
- agent-skills
- Authentication
- type: none · required: false
- Pricing
- model: free
- Version
- 1e5eeffbdad3
USAGE OBSERVATIONS