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baySeq

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

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Empirical Bayesian analysis of patterns of differential expression in count data

DOI: 10.18129/B9.bioc.baySeq

Bioconductor version: Release (3.23)

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, enter citation("baySeq")):

Thomas J. Hardcastle. baySeq: Empirical Bayesian analysis of patterns of differential expression in count data. doi:10.18129/B9.bioc.baySeq, R package version 2.46.0, https://bioconductor.org/packages/baySeq.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("baySeq")

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("baySeq")

Details

Package Archives

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