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Use when working with chemCPA for single-cell perturbation response modeling, especially prediction of cellular responses to unseen drugs, transfer learning from bulk to single-cell perturbation data,
Use with AI
Install the MCP server or CLI to instantly fetch chemCPA documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/chemcpa
NicheNet — R-based computational framework for studying intercellular communication from single-cell transcriptomics. Predicts which ligands expressed by sender cell types regulate target gene express
1 shared topic • 3 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 • 3 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
estimate-compute-requirements — predict CPU, memory, wall time, and storage for bioinformatics pipelines given input data size and tool selection. Generates per-step resource tables, platform-specific
1 shared topic • 2 shared operations