keita-iida/ASURAT: Functional annotation-driven unsupervised clustering for single-cell data

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).

Getting started

Package details

Bioconductor views Clustering GeneExpression GeneSignaling Sequencing SingleCell
LicenseGPL-3 + file LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
keita-iida/ASURAT documentation built on Nov. 23, 2022, 6:50 p.m.