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).

Package details

AuthorAndrea Rau, Gilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis- Rabusseau
MaintainerAndrea Rau <>
LicenseGPL (>= 3)
Package repositoryView on CRAN
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HTSCluster documentation built on May 2, 2019, 2:41 a.m.