johannesnicolaus/ASURAT_source: Assisting Interpretable Classifications in Single-cell Transcriptomics

In single-cell transcriptomics ASURAT assists users to classify samples (or cells) in biologically interpretable manners and find various types of biological terms specifically upregulated in each cluster. Using ASURAT, users can create and analyze a special type of matrix termed "sign-by-sample matrix", of which the rows and columns stand for biological terms and samples, respectively. The idea is inspired by Saussure's theories of semiology introduced in the late 19th century.

install.packages("remotes")
remotes::install_github("johannesnicolaus/ASURAT_source")