The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
A Poisson mixture model is implemented to cluster genes from high- throughput transcriptome sequencing (RNA-seq) 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: | 2.0.11 |
| Depends: | R (≥ 2.10.0) |
| Imports: | edgeR, plotrix, capushe, grDevices, graphics, stats |
| Suggests: | HTSFilter, Biobase |
| Published: | 2023-09-05 |
| DOI: | 10.32614/CRAN.package.HTSCluster |
| 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: | README NEWS |
| In views: | Omics |
| CRAN checks: | HTSCluster results |
| Reference manual: | HTSCluster.pdf |
| Vignettes: |
Co-expression analysis of RNA-seq data with the "HTSCluster" package |
| Package source: | HTSCluster_2.0.11.tar.gz |
| Windows binaries: | r-devel: HTSCluster_2.0.11.zip, r-release: HTSCluster_2.0.11.zip, r-oldrel: HTSCluster_2.0.11.zip |
| macOS binaries: | r-release (arm64): HTSCluster_2.0.11.tgz, r-oldrel (arm64): HTSCluster_2.0.11.tgz, r-release (x86_64): HTSCluster_2.0.11.tgz, r-oldrel (x86_64): HTSCluster_2.0.11.tgz |
| Old sources: | HTSCluster archive |
| Reverse imports: | coseq |
Please use the canonical form https://CRAN.R-project.org/package=HTSCluster to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.