pathfindR is an R package for active-subnetwork-oriented pathway enrichment analysis. It maps a gene list (typically a differential expression result with fold-changes and p-values) onto a protein-pro
Use with AI
Install the MCP server or CLI to instantly fetch Pathfindr documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/pathfindr
Use when working with ReactomePA — an R/Bioconductor package for Reactome Pathway Analysis. Performs over-representation analysis (ORA) and gene set enrichment analysis (GSEA) against the Reactome pat
2 shared topics • 1 shared operation
Cellpose — generalist deep learning algorithm for cellular and nuclear segmentation in microscopy images. Provides GPU-accelerated 2D and 3D instance segmentation using gradient flow representations,
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Use when inferring mechanistic causal links across multiple omics layers with COSMOS (Causal Oriented Search of Multi-Omics Space). Integrates metabolomics, transcriptomics, and signaling pathway data
2 shared topics
Use when working with NetworkX, graph analysis in Python, biological network analysis, protein-protein interaction networks, gene regulatory networks, metabolic networks, pathway analysis, network top
2 shared topics
Query Reactome REST API for pathway analysis, enrichment, gene-pathway mapping, disease pathways, molecular interactions, expression analysis, for systems biology studies.
2 shared topics