Package: HTSCluster
Type: Package
Title: Clustering high throughput sequencing (HTS) data
Version: 2.0.4
Date: 2014-08-26
Author: Andrea Rau, Gilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau
Maintainer: Andrea Rau <andrea.rau@jouy.inra.fr>
Depends: R (>= 2.10.0), capushe
Imports: edgeR, poisson.glm.mix, plotrix
Suggests: HTSFilter, Biobase
Description: 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 slope heuristics are used for model selection (i.e., to choose the number of clusters).
License: GPL (>= 3)
LazyLoad: yes
Packaged: 2014-08-26 14:40:37 UTC; arau
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-08-26 18:12:16
