pathway-go-enrichment
CommunityIdentify enriched GO terms from a gene list in spatial data.
Data & Analytics#bioinformatics#spatial-transcriptomics#go-enrichment#gseapy#gene-ontology#fisher-test
Authorchenyhvvvv
Version1.0.0
Installs0
System Documentation
What problem does it solve?
GO enrichment analysis identifies enriched Gene Ontology terms for a given gene list, enabling functional interpretation of gene sets.
Core Features & Use Cases
- Input flexibility: reads from adata.uns['go_genes'] or a user-provided list.
- GO aspect options: GO_Biological_Process_2023 (default) with organism-wide mappings for human or mouse.
- Output: stores enriched terms and statistics in adata.uns['go_results'] for downstream exploration.
- Real-world use: interpret a candidate gene list from a spatial transcriptomics experiment to understand biological processes driving observed patterns.
Quick Start
Provide a gene list in adata.uns['go_genes'] and run the GO enrichment on the GO Biological Process 2023 library to obtain significant terms.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: pathway-go-enrichment Download link: https://github.com/chenyhvvvv/STAT-agent/archive/main.zip#pathway-go-enrichment Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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