Niche identifies cellular microenvironments and spatial niches in spatial transcriptomics data. Construct spatial neighborhood graphs, compute niche-level gene expression profiles, cluster cells by ni
Use with AI
Install the MCP server or CLI to instantly fetch Niche documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/niche
LIANA (LIgand-receptor ANAlysis) — unified Python framework for cell-cell communication inference from single-cell transcriptomics. Wraps multiple methods (CellPhoneDB, NATMI, Connectome, SingleCellSi
2 shared topics • 1 shared operation
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
2 shared topics • 1 shared operation
scArches (Single-cell Architecture Surgery) — Python toolkit for reference-based single-cell data integration via transfer learning. Maps query datasets into pre-trained reference atlases using archit
2 shared topics • 1 shared operation
scFoundation — large-scale pretrained foundation model for single-cell transcriptomics built on the xTrimo transformer architecture. Trained on ~50 million human single-cell profiles, scFoundation gen
2 shared topics • 1 shared operation
STARmap (Spatially-resolved Transcript Amplicon Readout mapping) — in situ spatial transcriptomics method that combines hydrogel-tissue chemistry with sequencing-by-hybridization (SEDAL) for multiplex
2 shared topics • 1 shared operation