HTSCluster: Clustering High-Throughput Transcriptome Sequencing (HTS) Data
Version 2.0.8

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).

Package details

AuthorAndrea Rau, Gilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis- Rabusseau
Date of publication2016-05-26 15:45:35
MaintainerAndrea Rau <[email protected]>
LicenseGPL (>=3)
Version2.0.8
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("HTSCluster", repos="http://R-Forge.R-project.org")

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HTSCluster documentation built on May 31, 2017, 2:48 a.m.