Clustering High-Throughput Transcriptome Sequencing (HTS) Data R package HTSCluster version 2.0.11 CRAN Task View: Omics (https://CRAN.R-project.org/view=Omics) 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). Software Depends: R (>= 2.10.0) Imports: edgeR, plotrix, capushe, grDevices, graphics, stats Suggests: HTSFilter, Biobase Andrea Rau <andrea.rau@jouy.inra.fr> Comprehensive R Archive Network (CRAN) Andrea Rau, Gilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis- Rabusseau GPL (>= 3) 2023-09-05 application/tgz https://CRAN.R-project.org/package=HTSCluster doi:10.32614/CRAN.package.HTSCluster