HTSCluster: Clustering High-Throughput Transcriptome Sequencing (HTS) Data

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).

Install the latest version of this package by entering the following in R:
install.packages("HTSCluster")
AuthorAndrea Rau, Gilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis- Rabusseau
Date of publication2016-05-26 22:05:04
MaintainerAndrea Rau <andrea.rau@jouy.inra.fr>
LicenseGPL (>= 3)
Version2.0.8

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.