baySeq

This is the development version of baySeq; for the stable release version, see baySeq.

Empirical Bayesian analysis of patterns of differential expression in count data

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DOI: 10.18129/B9.bioc.baySeq

Bioconductor version: Development (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 iD ORCID: 0000-0001-9245-1535

Maintainer: Samuel Granjeaud <samuel.granjeaud at inserm.fr>

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

Installation

To install this package, start R (version "4.6") 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.