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EBarrays : Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Package: EBarrays
Version: 2.36.0
Date: 2007/09/20
Title: Unified Approach for Simultaneous Gene Clustering and
Differential Expression Identification
Author: Ming Yuan, Michael Newton, Deepayan Sarkar and Christina Kendziorski
Maintainer: Ming Yuan <myuan@isye.gatech.edu>
Description: EBarrays provides tools for the analysis of replicated/unreplicated microarray data.
Depends: R (>= 1.8.0), Biobase, lattice, methods
Imports: Biobase, cluster, graphics, grDevices, lattice, methods, stats
License: GPL (>= 2)
biocViews: Clustering, DifferentialExpression
NeedsCompilation: yes
Packaged: 2016-05-04 02:41:17 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: Clustering, DifferentialExpression
● 0 images, 7 functions, 1 datasets
Reverse Depends: 3