EBarrays

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Bioconductor version: Development (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>

To install this package, start R and enter:

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

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

    citation("EBarrays")

Documentation

PDF R Script Introduction to EBarrays
PDF   Reference Manual

Details

biocViews Clustering, DifferentialExpression, Software
Version 2.29.0
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 Downloads

Package Source EBarrays_2.29.0.tar.gz
Windows Binary EBarrays_2.29.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) EBarrays_2.29.0.tgz
Mac OS X 10.9 (Mavericks)
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