bioconductor-asurat
Functional annotation-driven unsupervised clustering for single-cell data
Functional annotation-driven unsupervised clustering for single-cell data
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ASURAT is a software for single-cell data analysis. Using ASURAT, one can simultaneously perform unsupervised clustering and biological interpretation in terms of cell type, disease, biological process, and signaling pathway activity. Inputting a single-cell RNA-seq data and knowledge-based databases, such as Cell Ontology, Gene Ontology, KEGG, etc., ASURAT transforms gene expression tables into original multivariate tables, termed sign-by-sample matrices (SSMs).
Summary
Functional annotation-driven unsupervised clustering for single-cell data
Last Updated
Dec 21, 2024 at 23:55
License
GPL-3 + file LICENSE
Total Downloads
5.5K
Supported Platforms