EBarrays

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Bioconductor version: 2.9

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")

PDF	R Script	Introduction to EBarrays
PDF		Reference Manual

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	2.18.0
Since	Bioconductor 1.6 (R-2.1) or earlier

Common Bioconductor workflows include:

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