This is the development version of baySeq; for the stable release version, see baySeq.
Empirical Bayesian analysis of patterns of differential expression in count dataBioconductor version: Development (3.22)
This package identifies differential expression in high-throughput 'count' data, such as that derived from next-generation sequencing machines, calculating estimated posterior likelihoods of differential expression (or more complex hypotheses) via empirical Bayesian methods.
Author: Thomas J. Hardcastle [aut], Samuel Granjeaud [cre] ORCID: 0000-0001-9245-1535
Maintainer: Samuel Granjeaud <samuel.granjeaud at inserm.fr>
Citation (from within R, entercitation("baySeq")): 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("baySeq")
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("baySeq")Follow Installation instructions to use this package in your R session.
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