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.

其他1 积分

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')

database

Enrichment database category: pathway, kegg, reactome, wikipathways, ontology, go_process, go_molecular, go_cellular, celltypes, tissues, diseases, gwas, transcription_factors, tf

species

Species (currently only 'human' supported)