Query the CZ CELLxGENE Census (61M+ cells) programmatically via TileDB-SOMA. Use when you need single-cell expression data across tissues, diseases, or cell types from the largest curated atlas. Suppo
Use with AI
Install the MCP server or CLI to instantly fetch CZ CELLxGENE Census documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/cellxgene-census
CellPhoneDB — repository of curated receptors, ligands, and their interactions for cell-cell communication analysis from single-cell RNA-seq data. Performs permutation-based statistical analysis (stat
1 shared topic • 2 shared operations
ConsensusClusterPlus — R/Bioconductor package for determining cluster count and membership by stability evidence in unsupervised analysis, implementing the Monti et al. (2003) consensus clustering alg
1 shared topic • 2 shared operations
DecontX — R/Bioconductor method in the celda package for estimating and removing ambient RNA contamination from droplet-based single-cell RNA-seq data. Uses a Bayesian Dirichlet mixture model over cel
1 shared topic • 2 shared operations
LIANA (LIgand-receptor ANAlysis) — unified Python framework for cell-cell communication inference from single-cell transcriptomics. Wraps multiple methods (CellPhoneDB, NATMI, Connectome, SingleCellSi
1 shared topic • 2 shared operations
scGen — deep learning framework for predicting single-cell perturbation responses using variational autoencoders. Predicts how cells respond to unseen conditions (drug treatment, genetic knockout, dis
1 shared topic • 2 shared operations