EBarrays

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

EBarrays provides tools for the analysis of replicated/unreplicated microarray data.

Author Ming Yuan, Christina Kendziorski, Michael Newton and Deepayan Sarkar
Maintainer Ming Yuan

To install this package, start R and enter:

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

Vignettes (Documentation)

Package Downloads
vignette.pdf
Source EBarrays_2.2.0.tar.gz
Windows binary EBarrays_2.2.0.zip
OS X binary EBarrays_2.2.0.tgz

Details

biocViews
Depends R, Biobase, utils, lattice, cluster
Suggests
Imports
SystemRequirements
License GPL Version 2.0 or later.
URL
dependsOnMe
suggestsMe Category