baySeq

Empirical Bayesian analysis of patterns of differential expression in count data

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://bioconductor.org/biocLite.R")
    biocLite("baySeq")

Documentation

baySeq	PDF	R Script
Reference Manual

Details

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

Package Downloads

Package source	baySeq_1.2.0.tar.gz
Windows 32-bit binary	baySeq_1.2.0.zip
Windows 64-bit binary	baySeq_1.2.0.zip
MacOS X 10.5 (Leopard) binary	baySeq_1.2.0.tgz
Package Downloads Report	Downloads Stats