EBarrays

This is the released version of EBarrays; for the devel version, see EBarrays.

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Bioconductor version: Release (3.22)

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>

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

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
BiocManager::install("EBarrays")

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:

browseVignettes("EBarrays")

Introduction to EBarrays PDF R Script

Reference Manual PDF

Version 2.74.0

In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 20.5 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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Imports Me casper

Suggests Me Category, dcanr

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

Source Package EBarrays_2.74.0.tar.gz

Windows Binary (x86_64) EBarrays_2.73.0.zip

macOS Binary (x86_64) EBarrays_2.74.0.tgz

macOS Binary (arm64) EBarrays_2.74.0.tgz

Source Repository git clone https://git.bioconductor.org/packages/EBarrays

Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/EBarrays

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