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
Use with AI
Install the MCP server or CLI to instantly fetch ReactomePA documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/reactomepa
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 • 1 shared operation
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
2 shared topics • 1 shared operation
Use when working with pathview, the R/Bioconductor package for KEGG pathway-based data integration and visualization. Covers overlaying gene expression data (fold changes, p-values, counts) onto KEGG
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,
2 shared topics
scArches (Single-cell Architecture Surgery) — Python toolkit for reference-based single-cell data integration via transfer learning. Maps query datasets into pre-trained reference atlases using archit
2 shared topics