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
Repository: https://andreamrau.r-universe.dev
Date/Publication: 2023-09-04 15:10:25 UTC
RemoteUrl: https://github.com/andreamrau/htscluster
RemoteRef: HEAD
RemoteSha: ca2ab810ac21a72381d472fcfe7456de7f118184
Packaged: 2026-07-10 08:24:41 UTC; root