HTSCluster: Clustering high throughput sequencing (HTS) data

This package implements a Poisson mixture model to cluster observations (e.g., genes) in high throughput sequencing data. Parameter estimation is performed using either the EM or CEM algorithm, and the ICL criterion is used for model selection (i.e., to choose the number of clusters).

Version: 2.0.1
Depends: R (≥ 2.10.0), plotrix, ggplot2, RColorBrewer
Imports: edgeR
Published: 2013-12-10
Author: Andrea Rau, Gilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau
Maintainer: Andrea Rau <andrea.rau at>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: HTSCluster citation info
Materials: NEWS
CRAN checks: HTSCluster results


Reference manual: HTSCluster.pdf
Package source: HTSCluster_2.0.1.tar.gz
MacOS X binary: HTSCluster_2.0.1.tgz
Windows binary:
Old sources: HTSCluster archive

Reverse dependencies:

Reverse depends: HTSDiff