To install this package, start R and enter:

source("http://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 (2.14)

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:

source("http://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 1.20.0
In Bioconductor since BioC 2.4 (R-2.9)
License LGPL
Depends R (>= 2.6.0)
Imports Biobase(>= 2.5.5), limma, mvtnorm, methods, stats
Suggests Biobase
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source betr_1.20.0.tar.gz
Windows Binary betr_1.20.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) betr_1.20.0.tgz
Mac OS X 10.9 (Mavericks) betr_1.20.0.tgz
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