CountClust: Clustering and Visualizing RNA-Seq Expression Data using Grade of Membership Models
Version 1.4.1

Fits grade of membership models (GoM, also known as admixture models) to cluster RNA-seq gene expression count data, identifies characteristic genes driving cluster memberships, and provides a visual summary of the cluster memberships.

Package details

AuthorKushal Dey [aut, cre], Joyce Hsiao [aut], Matthew Stephens [aut]
Bioconductor views Clustering GeneExpression RNASeq Sequencing Software StatisticalMethod Visualization
MaintainerKushal Dey <[email protected]>
LicenseGPL (>= 2)
Version1.4.1
URL https://github.com/kkdey/CountClust
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("CountClust")

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CountClust documentation built on Nov. 17, 2017, 8:30 a.m.