This is the development version of coseq; for the stable release version, see coseq.
Co-Expression Analysis of Sequencing DataBioconductor version: Development (3.22)
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, entercitation("coseq")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("coseq")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("coseq")Follow Installation instructions to use this package in your R session.
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