baySeq

Empirical Bayesian analysis of patterns of differential expression in count data

Bioconductor version: Development (2.8)

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

Maintainer: Thomas J. Hardcastle

To install this package, start R and enter:

source("http:///biocLite.R")
biocLite("baySeq")    

Documentation

PDF

R Script

baySeq

Reference Manual

Details

biocViews	Bioinformatics, HighThroughputSequencing, DifferentialExpression, MultipleComparisons, SAGE
Depends	R, methods
Imports
Suggests	snow
System Requirements
License	GPL-3
URL
Depends On Me	oneChannelGUI, segmentSeq
Imports Me	segmentSeq
Suggests Me
Version	1.5.7

Package Downloads

Package Source	baySeq_1.5.7.tar.gz
Windows Binary	baySeq_1.5.7.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	baySeq_1.5.7.tgz
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