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EBarrays

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Bioconductor version: Release (3.17)

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")):

Installation

To install this package, start R (version "4.3") 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.

Documentation

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

Details

biocViews Clustering, DifferentialExpression, Software
Version 2.64.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 18 years)
License GPL (>= 2)
Depends R (>= 1.8.0), Biobase, lattice, methods
Imports Biobase, cluster, graphics, grDevices, lattice, methods, stats
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Depends On Me EBcoexpress, gaga, geNetClassifier
Imports Me casper
Suggests Me Category, dcanr
Links To Me
Build Report  

Package Archives

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

Source Package EBarrays_2.64.0.tar.gz
Windows Binary EBarrays_2.64.0.zip
macOS Binary (x86_64) EBarrays_2.64.0.tgz
macOS Binary (arm64) EBarrays_2.64.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/EBarrays
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/EBarrays
Bioc Package Browser https://code.bioconductor.org/browse/EBarrays/
Package Short Url https://bioconductor.org/packages/EBarrays/
Package Downloads Report Download Stats