Agent skill · Databases

bio-pathway-reactome

Reactome pathway enrichment using ReactomePA package. Use when analyzing gene lists against Reactome's curated peer-reviewed pathway database. Performs over-representation analysis and GSEA with visualization and pathway hierarchy exploration.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-code
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-pathway-reactome --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/bio-pathway-reactome/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Version Compatibility Reference examples tested with: R stats (base), ReactomePA 1.46+, clusterProfiler 4.10+ Before using code patterns, verify installed versions match. If versions differ: - R: `packageVersion('<pkg>')` then `?function_name` to verify parameters If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Reactome Pathway Enrichment ## Core Pattern - Over-Representation Analysis **Goal:** Identify Reactome pathways over-represented in a gene list from differential expression or other analyses. **Approach:** Test for enrichment using the hypergeometric test via ReactomePA enrichPathway against curated peer-reviewed pathways. **"Run pathway enrichment against Reactome"** → Test whether genes in curated Reactome pathways are over-represented among significant genes. ```r library(ReactomePA) library(org.Hs.eg.db) pathway_result <- enrichPathway( gene = entrez_ids, # Character vector of Entrez IDs organism = 'human', # human, rat, mouse, celegans, yeast, zebrafish, fly pvalueCutoff = 0.05, pAdjustMethod = 'BH', readable = TRUE # Convert to gene symbols ) head(as.data

What's inside
Steps it walks through
  1. Version Compatibility
  2. Core Pattern - Over-Representation Analysis
  3. Prepare Gene List from DE Results
  4. GSEA on Reactome Pathways
  5. With Background Universe
  6. Visualization
  7. View Pathway in Browser
  8. Export Results
  9. Different Organisms
  10. Compare Clusters
  11. Key Parameters
  12. Supported Organisms
  13. Related Skills
Ships with 3 files
  • examples/reactome_gsea.R
  • examples/reactome_ora.R
  • usage-guide.md
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-pathway-reactome skill do?

Reactome pathway enrichment using ReactomePA package. Use when analyzing gene lists against Reactome's curated peer-reviewed pathway database. Performs over-representation analysis and GSEA with visualization and pathway hierarchy exploration.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-pathway-reactome --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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