Accurate and fast cell marker gene identification with COSG
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Updated
Feb 8, 2026 - R
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Accurate and fast cell marker gene identification with COSG
Accurate and fast cell marker gene identification with COSG
LARIS enables accurate and efficient ligand and receptor interaction analysis in spatial transcriptomics
PIASO: Precise Integrative Analysis of Single-cell Omics
Read, write and stream `.cytome` files natively in R — no Python runtime, no bridge process, no HDF5 intermediate.
Agent-neutral knowledge hub that makes the PIASO single-cell omics ecosystem (PIASO, COSG/COSGR, LARIS, Emergene, PIASOmarkerDB) first-class for any coding agent. One canonical source generates Claude skills, Cursor rules, AGENTS.md, llms.txt, and an MCP server.
Cell-type-resolved gene regulatory network inference from single-cell data.
Single-file format for single-cell multi-omics — matrices, metadata, embeddings, fragments and provenance in one SQLite-backed .cytome file, with SQL metadata queries and genomic range indexes.
Genome reference files and tutorial datasets for PIASO
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