baySeq

Empirical Bayesian analysis of patterns of differential expression in count data

Bioconductor version: 2.9

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 <tjh48 at cam.ac.uk>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("baySeq")

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