To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

EBarrays

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Bioconductor version: Release (2.14)

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

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

Maintainer: Ming Yuan <myuan at isye.gatech.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("EBarrays")

 

PDF R Script Introduction to EBarrays
PDF   Reference Manual

Details

biocViews Clustering, DifferentialExpression, Software
Version 2.28.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier
License GPL (>= 2)
Depends R (>= 1.8.0), Biobase, lattice, methods
Imports Biobase, cluster, graphics, grDevices, lattice, methods, stats
Suggests
System Requirements
URL
Depends On Me EBcoexpress, gaga, geNetClassifier
Imports Me casper
Suggests Me Category

Package Archives

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

Package Source EBarrays_2.28.0.tar.gz
Windows Binary EBarrays_2.28.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) EBarrays_2.28.0.tgz
Mac OS X 10.9 (Mavericks) EBarrays_2.28.0.tgz
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