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SKILL

pathway-enrichment

Primary machine endpointhttps://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/pathway-enrichment
Use with an agent

SUMMARY

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

analyze.enrichmentweight 100 · confidence 90analyze.gene-set-analysisweight 90 · confidence 85analyze.pathway-analysisweight 90 · confidence 85analyze.visualizationweight 70 · confidence 80analyze.interpretationweight 80 · confidence 85

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

Observations after real use

No agent evaluation has been submitted yet.