WNN (Weighted Nearest Neighbor) — Seurat's method for multimodal single-cell data integration that computes cell-specific modality weights and combines per-modality KNN graphs. Supports any combinatio
Use with AI
Install the MCP server or CLI to instantly fetch WNN (Weighted Nearest Neighbor) documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/wnn
Giotto Suite — R toolkit for spatial multi-omics analysis at all scales and resolutions. Processes data from Visium, MERFISH, Xenium, CosMx, Slide-seq, CODEX, Stereo-seq, and other spatial technologie
2 shared topics • 1 shared operation
scikit-learn — open-source Python machine learning library providing consistent estimator API for classification, regression, clustering, dimensionality reduction, model selection, and preprocessing.
2 shared topics • 1 shared operation
Muon — multimodal omics data analysis framework from the scverse ecosystem. Built on the MuData container for multi-modal single-cell experiments including CITE-seq, Multiome (RNA+ATAC), TEA-seq, and
2 shared topics
nf-core — community-curated Nextflow pipeline framework with 100+ production bioinformatics pipelines. Provides CLI tools for listing, launching, downloading, creating, and linting pipelines; managing
2 shared topics
totalVI and MultiVI — deep generative models from scvi-tools for multi-modal single-cell integration. totalVI jointly models scRNA-seq and protein (CITE-seq) data via a variational autoencoder for den
2 shared topics