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MultiVI — deep generative model for joint analysis of scRNA-seq and scATAC-seq multi-omics data using variational inference. Part of scvi-tools (scverse ecosystem). Integrates single-modality and mult
Use with AI
Install the MCP server or CLI to instantly fetch MultiVI documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/multivi
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 • 1 shared operation
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 • 1 shared operation
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 • 1 shared operation
Scanpy — scalable Python toolkit for analyzing single-cell gene expression data built on AnnData. Provides preprocessing (QC, normalization, feature selection, dimensionality reduction), clustering (L
1 shared topic • 1 shared operation
Seurat — comprehensive R toolkit for single-cell genomics enabling QC, normalization (LogNormalize, SCTransform), feature selection, dimensionality reduction (PCA, UMAP, t-SNE), graph-based clustering
1 shared topic • 1 shared operation