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EBarrays

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification


Bioconductor version: Release (3.18)

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 2.66.0
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
URL
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Suggests
Linking To
Enhances
Depends On Me EBcoexpress, gaga, geNetClassifier
Imports Me casper
Suggests Me Category, dcanr
Links To Me
Build Report Build Report

Package Archives

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

Source Package EBarrays_2.66.0.tar.gz
Windows Binary EBarrays_2.66.0.zip
macOS Binary (x86_64) EBarrays_2.66.0.tgz
macOS Binary (arm64) EBarrays_2.66.0.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