gaga (original) (raw)

This is the released version of gaga; for the devel version, seegaga.

GaGa hierarchical model for high-throughput data analysis

Bioconductor version: Release (3.21)

Implements the GaGa model for high-throughput data analysis, including differential expression analysis, supervised gene clustering and classification. Additionally, it performs sequential sample size calculations using the GaGa and LNNGV models (the latter from EBarrays package).

Author: David Rossell .

Maintainer: David Rossell

Citation (from within R, enter citation("gaga")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("gaga")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("gaga")

Details

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Follow Installation instructions to use this package in your R session.