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
Use with AI
Install the MCP server or CLI to instantly fetch scFoundation documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/scfoundation
CellGenIT tools from the Wellcome Sanger Institute Cellular Genetics Informatics team. Suite of Python utilities for single-cell genomics including sinto (fragment file generation from BAM), cellhint
2 shared topics • 1 shared operation
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
STdeconvolve — reference-free cell-type deconvolution for spatial transcriptomics using Latent Dirichlet Allocation (LDA). Decomposes multi-cellular spatial pixels into cell-type proportions and trans
2 shared topics • 1 shared operation