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>

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biocViews Clustering, GeneExpression, RNASeq, Sequencing, Software, StatisticalMethod, Visualization
Version 1.4.1
In Bioconductor since BioC 3.3 (R-3.3) (2 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
Suggests knitr, kableExtra, BiocStyle, Biobase, roxygen2, RColorBrewer, devtools, xtable
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