EBarrays

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Bioconductor version: 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 <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

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 2.14.1

Since Bioconductor 1.6 (R-2.1) or earlier

Windows Binary EBarrays_2.14.1.zip (32- & 64-bit)

MacOS 10.5 (Leopard) binary EBarrays_2.14.1.tgz

Common Bioconductor workflows include:

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!