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Bioconductor - coseq

coseq

This is the released version of coseq; for the devel version, see coseq.

Co-Expression Analysis of Sequencing Data

Bioconductor version: Release (3.21)

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 [cre, aut] ORCID: 0000-0001-6469-488X , Cathy Maugis-Rabusseau [ctb], Antoine Godichon-Baggioni [ctb]

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

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

To install this package, start R (version "4.5") 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")
Details biocViews GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software Version 1.32.1 In Bioconductor since BioC 3.5 (R-3.4) (8 years) License GPL-3 Depends R (>= 4.0.0), SummarizedExperiment, S4Vectors Imports edgeR, DESeq2, capushe, Rmixmod, e1071, BiocParallel, ggplot2, scales, HTSFilter, corrplot, HTSCluster, grDevices, graphics, stats, methods, compositions, mvtnorm System Requirements URL See More Package Archives

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

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