To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("BADER")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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 arcor.de>
Citation (from within R,
enter citation("BADER")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("BADER")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BADER")
R Script | Analysing RNA-Seq data with the "BADER" package | |
Reference Manual |
biocViews | Bioinformatics, DifferentialExpression, HighThroughputSequencing, RNAseq, SAGE, Software |
Version | 1.0.0 |
In Bioconductor since | BioC 2.13 (R-3.0) |
License | GPL-2 |
Depends | |
Imports | |
Suggests | pasilla(>= 0.2.10) |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | BADER_1.0.0.tar.gz |
Windows Binary | BADER_1.0.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | BADER_1.0.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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