EBarrays

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Bioconductor version: Release (3.19)

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 "4.4") 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

biocViews	Clustering, DifferentialExpression, Software
Version	2.68.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 19.5 years)
License	GPL (>= 2)
Depends	R (>= 1.8.0), Biobase, lattice, methods
Imports	Biobase, cluster, graphics, grDevices, lattice, methods, stats
System Requirements
URL

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

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

Source Package	EBarrays_2.68.0.tar.gz
Windows Binary (x86_64)	EBarrays_2.68.0.zip
macOS Binary (x86_64)	EBarrays_2.68.0.tgz
macOS Binary (arm64)	EBarrays_2.68.0.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