A tool for semi-automatic cell type classification
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Graph-linked unified embedding for single-cell multi-omics data integration
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
scPerturb: A resource and a python/R tool for single-cell perturbation data
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
Autonomous multi-agent framework to optimize scientific software
MCP server for spatial transcriptomics analysis through natural language interfaces.
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics