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.


To install this package and load it into R, do the following:


Try the ClussCluster package in your browser

Any scripts or data that you put into this service are public.

ClussCluster documentation built on July 2, 2019, 5:03 p.m.