To install this package, start R and enter:

## try http if https is not available
source("https://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 (3.1)

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")):

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("EBarrays")

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

biocViews	Clustering, DifferentialExpression, Software
Version	2.32.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 10.5 years)
License	GPL (>= 2)
Depends	R (>= 1.8.0), Biobase, lattice, methods
Imports	Biobase, cluster, graphics, grDevices, lattice, methods, stats
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me	EBcoexpress, gaga, geNetClassifier
Imports Me	casper
Suggests Me	Category
Build Report

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

Package Source	EBarrays_2.32.0.tar.gz
Windows Binary	EBarrays_2.32.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	EBarrays_2.32.0.tgz
Mac OS X 10.9 (Mavericks)	EBarrays_2.32.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/EBarrays/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/EBarrays/
Package Downloads Report	Download Stats

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