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.

Getting started

Package details

AuthorGe Jiang, Jun Li
MaintainerGe Jiang <>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
gabriellajg/ClussCluster documentation built on May 12, 2019, 5:40 a.m.