To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("betr")

In most cases, you don't need to download the package archive at all.

betr

 

   

Identify differentially expressed genes in microarray time-course data

Bioconductor version: Release (3.3)

The betr package implements the BETR (Bayesian Estimation of Temporal Regulation) algorithm to identify differentially expressed genes in microarray time-course data.

Author: Martin Aryee

Maintainer: Martin Aryee <aryee at jhu.edu>

Citation (from within R, enter citation("betr")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("betr")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("betr")

 

PDF R Script BETR Vignette
PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, Software, TimeCourse
Version 1.28.0
In Bioconductor since BioC 2.4 (R-2.9) (7 years)
License LGPL
Depends R (>= 2.6.0)
Imports Biobase(>= 2.5.5), limma, mvtnorm, methods, stats
LinkingTo
Suggests Biobase
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source betr_1.28.0.tar.gz
Windows Binary betr_1.28.0.zip
Mac OS X 10.9 (Mavericks) betr_1.28.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/betr/tree/release-3.3
Package Short Url http://bioconductor.org/packages/betr/
Package Downloads Report Download Stats

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