coseq

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see coseq.

Co-Expression Analysis of Sequencing Data


Bioconductor version: 3.7

Co-expression analysis for expression profiles arising from high-throughput sequencing data. Feature (e.g., gene) profiles are clustered using adapted transformations and mixture models or a K-means algorithm, and model selection criteria (to choose an appropriate number of clusters) are provided.

Author: Andrea Rau, Cathy Maugis-Rabusseau, Antoine Godichon-Baggioni

Maintainer: Andrea Rau <andrea.rau at inra.fr>

Citation (from within R, enter citation("coseq")):

Installation

To install this package, start R (version "3.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("coseq")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("coseq")
coseq HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews GeneExpression, RNASeq, Sequencing, Software
Version 1.4.0
In Bioconductor since BioC 3.5 (R-3.4) (7 years)
License GPL (>=3)
Depends R (>= 3.4.1), SummarizedExperiment, S4Vectors
Imports edgeR, DESeq2, capushe, Rmixmod, e1071, BiocParallel, ggplot2 (>= 2.1.0), scales, HTSFilter, corrplot, HTSCluster (>= 2.0.8), gridExtra, grDevices, graphics, stats, methods, compositions, mvtnorm
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package coseq_1.4.0.tar.gz
Windows Binary coseq_1.4.0.zip
Mac OS X 10.11 (El Capitan) coseq_1.4.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/coseq
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/coseq
Package Short Url https://bioconductor.org/packages/coseq/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.7 Source Archive