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This is the development version of EBarrays; for the stable release version, see EBarrays.

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Bioconductor version: Development (3.20)

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>

Citation (from within R, enter citation("EBarrays")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Introduction to EBarrays PDF R Script
Reference Manual PDF


biocViews Clustering, DifferentialExpression, Software
Version 2.69.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 19 years)
License GPL (>= 2)
Depends R (>= 1.8.0), Biobase, lattice, methods
Imports Biobase, cluster, graphics, grDevices, lattice, methods, stats
System Requirements
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Linking To
Depends On Me EBcoexpress, gaga, geNetClassifier
Imports Me casper
Suggests Me Category, dcanr
Links To Me
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Follow Installation instructions to use this package in your R session.

Source Package EBarrays_2.69.0.tar.gz
Windows Binary
macOS Binary (x86_64) EBarrays_2.69.0.tgz
macOS Binary (arm64) EBarrays_2.69.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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