EBarrays

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Bioconductor version: 2.8

EBarrays provides tools for the analysis of replicated/unreplicated microarray data.

Author: Ming Yuan, Christina Kendziorski, Michael Newton and Deepayan Sarkar

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
Depends R (>= 1.8.0), Biobase, lattice, methods
Imports Biobase, cluster, graphics, grDevices, lattice, methods, stats
Suggests
System Requirements
License GPL (>= 2)
URL
Depends On Me
Imports Me
Suggests Me Category
Version 2.16.0
Since Bioconductor 1.6 (R-2.1) or earlier

Package Downloads

Package Source EBarrays_2.16.0.tar.gz
Windows Binary EBarrays_2.16.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary EBarrays_2.16.0.tgz
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