EBarrays

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

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Bioconductor version: Development (3.24)

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")):

Ming Yuan, Michael Newton, Deepayan Sarkar and Christina Kendziorski. EBarrays: Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification. doi:10.18129/B9.bioc.EBarrays, R package version 2.77.0, https://bioconductor.org/packages/EBarrays.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Clustering, DifferentialExpression, Software
Version	2.77.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 21.5 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, r-universe

Package Archives

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

Source Package	EBarrays_2.77.0.tar.gz
Windows Binary (x86_64)	EBarrays_2.77.0.zip
macOS Binary (big-sur-x86_64)	EBarrays_2.77.0.tgz
macOS Binary (sonoma-arm64)	EBarrays_2.77.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/EBarrays
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/EBarrays
Package Short Url	https://bioconductor.org/packages/EBarrays/
Package Downloads Report	Download Stats