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Use when working with UINMF in `rliger` for mosaic single-cell integration with shared and unshared features. UINMF extends LIGER's iNMF workflow to keep modality-specific genes, intergenic accessibil
Use with AI
Install the MCP server or CLI to instantly fetch UINMF documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/uinmf
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
Cumulus — cloud-based framework for large-scale single-cell and single-nucleus RNA-seq analysis on Terra/Google Cloud. Provides WDL workflows for demultiplexing (demuxEM, souporcell, demuxlet), count
1 shared topic • 2 shared operations
Harmony -- fast and scalable single-cell data integration and batch correction algorithm. Operates on PCA embeddings using iterative soft k-means clustering to remove batch effects while preserving bi
1 shared topic • 2 shared operations
STARmap (Spatially-resolved Transcript Amplicon Readout mapping) — in situ spatial transcriptomics method that combines hydrogel-tissue chemistry with sequencing-by-hybridization (SEDAL) for multiplex
1 shared topic • 2 shared operations
stLearn — spatial transcriptomics analysis in Python integrating gene expression with tissue morphology. Provides SME (spatial morphological gene expression) normalization, spatial clustering, spatial
1 shared topic • 2 shared operations