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).
| Version: | 2.0.4 |
| Depends: | R (≥ 2.10.0), capushe |
| Imports: | edgeR, poisson.glm.mix, plotrix |
| Suggests: | HTSFilter, Biobase |
| Published: | 2014-08-26 |
| Author: | Andrea Rau, Gilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau |
| Maintainer: | Andrea Rau <andrea.rau at jouy.inra.fr> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Citation: | HTSCluster citation info |
| Materials: | NEWS |
| CRAN checks: | HTSCluster results |
| Reference manual: | HTSCluster.pdf |
| Vignettes: |
Co-expression analysis of RNA-seq data with the "HTSCluster" package |
| Package source: | HTSCluster_2.0.4.tar.gz |
| Windows binaries: | r-devel: HTSCluster_2.0.4.zip, r-release: HTSCluster_2.0.4.zip, r-oldrel: HTSCluster_2.0.4.zip |
| OS X Snow Leopard binaries: | r-release: HTSCluster_2.0.4.tgz, r-oldrel: HTSCluster_2.0.4.tgz |
| OS X Mavericks binaries: | r-release: HTSCluster_2.0.4.tgz |
| Old sources: | HTSCluster archive |
| Reverse depends: | HTSDiff |