Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Bioconductor version: Release (2.14)

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>

To install this package, start R and enter:


To cite this package in a publication, start R and enter:



PDF R Script Introduction to EBarrays
PDF   Reference Manual


biocViews Clustering, DifferentialExpression, Software
Version 2.28.0
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
System Requirements
Depends On Me EBcoexpress, gaga, geNetClassifier
Imports Me
Suggests Me Category

Package Downloads

Package Source EBarrays_2.28.0.tar.gz
Windows Binary EBarrays_2.28.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) EBarrays_2.28.0.tgz
Mac OS X 10.9 (Mavericks)
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