gabriellajg/ClussCluster: Simultaneous Detection of Clusters and Cluster-Specific Genes in High-throughput Transcriptome Data

This package implements a new method ClussCluster to simultaneously perform clustering analysis and signature gene selection on high-dimensional transcriptome data sets. To do so, ClussCluster incorporates a Lasso-type regularization penalty term to the objective function of K-means so that cell-type-specific signature genes can be identified while clustering the cells.

install.packages("remotes")
remotes::install_github("gabriellajg/ClussCluster")