CRAN/E | HTSCluster

HTSCluster

Clustering High-Throughput Transcriptome Sequencing (HTS) Data

Installation

About

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).

Citation HTSCluster citation info

Key Metrics

Version 2.0.11
R ≥ 2.10.0
Published 2023-09-05 241 days ago
Needs compilation? no
License GPL (≥ 3)
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Maintainer

Maintainer

Andrea Rau

andrea.rau@jouy.inra.fr

Authors

Andrea Rau
Gilles Celeux
Marie-Laure Martin-Magniette
Cathy Maugis- Rabusseau

Material

README
NEWS
Reference manual
Package source

In Views

Omics

Vignettes

Co-expression analysis of RNA-seq data with the "HTSCluster" package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

HTSCluster archive

Depends

R ≥ 2.10.0

Imports

edgeR
plotrix
capushe
grDevices
graphics
stats

Suggests

HTSFilter
Biobase

Reverse Imports

coseq