BADER: Bayesian Analysis of Differential Expression in RNA Sequencing Data

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.

AuthorAndreas Neudecker, Matthias Katzfuss
Date of publicationNone
MaintainerAndreas Neudecker <a.neudecker@arcor.de>
LicenseGPL-2
Version1.12.0

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Files in this package

BADER/DESCRIPTION
BADER/NAMESPACE
BADER/R
BADER/R/BADER.R
BADER/build
BADER/build/vignette.rds
BADER/inst
BADER/inst/doc
BADER/inst/doc/BADER.R
BADER/inst/doc/BADER.Rnw
BADER/inst/doc/BADER.pdf
BADER/man
BADER/man/BADER.Rd
BADER/src
BADER/src/meth.cpp
BADER/src/meth.h
BADER/vignettes
BADER/vignettes/BADER.Rnw
BADER/vignettes/BADER.bib

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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