gaga

GaGa hierarchical model for high-throughput data analysis

Bioconductor version: 2.9

This package fits Rossell's generalizations of the Gamma-Gamma hierarchical model for high-throughput data analysis, which substantially improve the quality of the fit at a low computational cost. The model can be used for differential expression analysis, supervised gene clustering, classification and sequential sample size calculation for high-throughput experiments.

Author: David Rossell <rosselldavid at gmail.com>.

Maintainer: David Rossell <rosselldavid at gmail.com>

To install this package, start R and enter:

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

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

    citation("gaga")

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