工具 API
enrichr_ analyzer
Perform functional enrichment analysis on a gene list. ⚠️ PREREQUISITE: Use the 'think' tool FIRST to plan your enrichment analysis strategy! Inspired by gget enrichr (Luebbert & Pachter, 2023). Uses Enrichr API: https://maayanlab.cloud/Enrichr/ Analyzes a list of genes to identify enriched: - Biological pathways (KEGG, Reactome, WikiPathways) - Gene Ontology terms (biological process, molecular function, cellular component) - Cell types and tissue expression patterns - Disease associations (GWAS Catalog) - Transcription factor targets (ChEA) Returns enrichment results with p-values, z-scores, and combined scores for each significantly enriched term. Example usage: - Analyze differentially expressed genes for pathway enrichment - Identify cell types associated with a gene signature - Find diseases associated with a gene list - Discover transcription factors regulating a set of genes Database categories: - pathway, kegg, reactome, wikipathways: Biological pathways - ontology, go_process, go_molecular, go_cellular: Gene Ontology terms - celltypes, tissues: Cell type and tissue expression - diseases, gwas: Disease associations - transcription_factors, tf: Transcription factor targets Note: This tool submits gene lists to the public Enrichr API. For single gene enrichment, consider using gene_getter with --enrich flag via CLI.
调用信息
- 工具标识
- biomcp.enrichr_analyzer
- 服务提供方
- 生物医学研究
- 平均响应
- 0 ms
- 近 7 天调用
- 0
输入参数
genes必填Gene symbols to analyze (e.g., ['TP53', 'BRCA1'] or 'TP53')
databaseEnrichment database category: pathway, kegg, reactome, wikipathways, ontology, go_process, go_molecular, go_cellular, celltypes, tissues, diseases, gwas, transcription_factors, tf
speciesSpecies (currently only 'human' supported)