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Bayesian Analysis of Differential Expression in RNA Sequencing Data

Bioconductor version: Release (3.19)

For RNA sequencing count data, BADER fits a Bayesian hierarchical model. The algorithm returns the posterior probability of differential expression for each gene between two groups A and B. The joint posterior distribution of the variables in the model can be returned in the form of posterior samples, which can be used for further down-stream analyses such as gene set enrichment.

Author: Andreas Neudecker, Matthias Katzfuss

Maintainer: Andreas Neudecker <a.neudecker at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Analysing RNA-Seq data with the "BADER" package PDF R Script
Reference Manual PDF


biocViews DifferentialExpression, ImmunoOncology, RNASeq, SAGE, Sequencing, Software
Version 1.42.0
In Bioconductor since BioC 2.13 (R-3.0) (10.5 years)
License GPL-2
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Follow Installation instructions to use this package in your R session.

Source Package BADER_1.42.0.tar.gz
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macOS Binary (x86_64) BADER_1.42.0.tgz
macOS Binary (arm64) BADER_1.42.0.tgz
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