To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("CountClust")

In most cases, you don't need to download the package archive at all.

CountClust

DOI: 10.18129/B9.bioc.CountClust    

Clustering and Visualizing RNA-Seq Expression Data using Grade of Membership Models

Bioconductor version: Release (3.6)

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.

Author: Kushal Dey [aut, cre], Joyce Hsiao [aut], Matthew Stephens [aut]

Maintainer: Kushal Dey <kkdey at uchicago.edu>

Citation (from within R, enter citation("CountClust")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("CountClust")

Documentation

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PDF   Reference Manual
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Details

biocViews Clustering, GeneExpression, RNASeq, Sequencing, Software, StatisticalMethod, Visualization
Version 1.4.1
In Bioconductor since BioC 3.3 (R-3.3) (1.5 years)
License GPL (>= 2)
Depends R (>= 3.2), ggplot2 (>= 2.1.0)
Imports maptpx, SQUAREM, slam, plyr (>= 1.7.1), cowplot, gtools, flexmix, picante, limma, parallel, reshape2, stats, utils, graphics, grDevices
LinkingTo
Suggests knitr, kableExtra, BiocStyle, Biobase, roxygen2, RColorBrewer, devtools, xtable
SystemRequirements
Enhances
URL https://github.com/kkdey/CountClust
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package CountClust_1.4.1.tar.gz
Windows Binary CountClust_1.4.1.zip
Mac OS X 10.11 (El Capitan) CountClust_1.4.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/CountClust
Package Short Url http://bioconductor.org/packages/CountClust/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.6 Source Archive

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