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 <[email protected]>
LicenseGPL-3
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("gabriellajg/ClussCluster")
gabriellajg/ClussCluster documentation built on Sept. 26, 2017, 6:12 p.m.