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EBarrays
This is the development version of EBarrays; for the stable release version, see EBarrays.
Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification
Bioconductor version: Development (3.23)
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 "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
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")
Reference Manual
PDF
Details
Version
2.75.0
In Bioconductor since
BioC 1.6 (R-2.1) or earlier (> 20.5 years)
License
GPL (>= 2)
System Requirements
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package
EBarrays_2.75.0.tar.gz
Windows Binary (x86_64)
EBarrays_2.75.0.zip (64-bit only)
macOS Binary (x86_64)
EBarrays_2.75.0.tgz
macOS Binary (arm64)
EBarrays_2.75.0.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/
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