To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("EBarrays")

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

EBarrays

This package is for version 2.8 of Bioconductor; for the stable, up-to-date release version, see EBarrays.

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Bioconductor version: 2.8

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

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

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:// URLs are not supported
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		vignette.pdf
PDF		Reference Manual

biocViews	Clustering, DifferentialExpression, Software
Version	2.16.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 11 years)
License	GPL (>= 2)
Depends	R (>= 1.8.0), Biobase, lattice, methods
Imports	Biobase, cluster, graphics, grDevices, lattice, methods, stats
LinkingTo
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SystemRequirements
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URL
Depends On Me
Imports Me
Suggests Me	Category
Build Report

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

Package Source	EBarrays_2.16.0.tar.gz
Windows Binary	EBarrays_2.16.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)
Mac OS X 10.9 (Mavericks)
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/EBarrays/tree/release-2.8
Package Short Url	http://bioconductor.org/packages/EBarrays/
Package Downloads Report	Download Stats

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