EBarrays

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Bioconductor version: Release (2.7)

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

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

Maintainer: Ming Yuan

To install this package, start R and enter:

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

Documentation

PDF

R Script

Introduction to EBarrays

Reference Manual

Details

biocViews	DifferentialExpression, Clustering
Depends	R, 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	2.14.1

Package Downloads

Package Source	EBarrays_2.14.1.tar.gz
Windows Binary	EBarrays_2.14.1.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	EBarrays_2.14.1.tgz
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