Package: HTSCluster
Type: Package
Title: Clustering High-Throughput Transcriptome Sequencing (HTS) Data
Version: 2.0.11
Date: 2023-09-04
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)
Imports: edgeR, plotrix, capushe, grDevices, graphics, stats
Suggests: HTSFilter, Biobase
Description: 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).
License: GPL (>= 3)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2023-09-04 15:08:30 UTC; araul
Repository: CRAN
Date/Publication: 2023-09-05 08:00:02 UTC
Built: R 4.6.0; ; 2026-04-25 19:34:38 UTC; unix
