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: 3.0

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:

source("http://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	2.30.0
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
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me	EBcoexpress, gaga, geNetClassifier
Imports Me	casper
Suggests Me	Category
Build Report

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