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 3.2 of Bioconductor; for the stable, up-to-date release version, see EBarrays.

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Bioconductor version: 3.2

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:

## try http:// if https:// URLs are not supported
source("https://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 Introduction to EBarrays
PDF Reference Manual

Details

biocViews Clustering, DifferentialExpression, Software
Version 2.34.0
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
Suggests
SystemRequirements
Enhances
URL
Depends On Me EBcoexpress, gaga, geNetClassifier
Imports Me casper
Suggests Me Category
Build Report

Package Archives

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

Package Source EBarrays_2.34.0.tar.gz
Windows Binary EBarrays_2.34.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) EBarrays_2.34.0.tgz
Mac OS X 10.9 (Mavericks) EBarrays_2.34.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/EBarrays/tree/release-3.2
Package Short Url http://bioconductor.org/packages/EBarrays/
Package Downloads Report Download Stats

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