R Development Page
Contributed R Packages
Below is a list of all packages provided by project HTSAnalysis.
Important note for package binaries: R-Forge provides these binaries only for the most recent version of R, but not for older versions. In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources (.tar.gz).
Packages
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). | ||||||||||
Version: 2.0.8 | Last change: 2016-05-26 17:45:35+02 | Rev.: 117 | ||||||||||
Download:
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R install command:
install.packages("HTSCluster", repos="http://R-Forge.R-project.org") | ||||||||||
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HTSDiff | Differential Analysis of RNA-Seq Data with Poisson Mixture Models | |||||||||
A Poisson mixture model is implemented to identify differentially expressed genes from RNA-seq data. | ||||||||||
Version: 1.0.6 | Last change: 2015-01-18 23:05:02+01 | Rev.: 98 | ||||||||||
Download:
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R install command:
install.packages("HTSDiff", repos="http://R-Forge.R-project.org") | ||||||||||
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metaRNASeq | Meta-Analysis of RNA-Seq Data | |||||||||
Implementation of two p-value combination techniques (inverse normal and Fisher methods). A vignette is provided to explain how to perform a meta-analysis from two independent RNA-seq experiments. | ||||||||||
Version: 1.0.7 | Last change: 2021-09-30 16:28:44+02 | Rev.: 145 | ||||||||||
Download:
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R install command:
install.packages("metaRNASeq", repos="http://R-Forge.R-project.org") | ||||||||||
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