EBarrays

DOI: 10.18129/B9.bioc.EBarrays    

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Bioconductor version: Release (3.6)

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("EBarrays")

Documentation

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

Details

biocViews	Clustering, DifferentialExpression, Software
Version	2.42.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 13 years)
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

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	EBarrays_2.42.0.tar.gz
Windows Binary	EBarrays_2.42.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	EBarrays_2.42.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/EBarrays
Package Short Url	http://bioconductor.org/packages/EBarrays/
Package Downloads Report	Download Stats