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

EBarrays

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Bioconductor version: 2.13

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>

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	2.26.0
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
Suggests Me	Category

Package Archives

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

Package Source	EBarrays_2.26.0.tar.gz
Windows Binary	EBarrays_2.26.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	EBarrays_2.26.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats