To install this package, start R and enter:

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

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

BGmix

 

   

Bayesian models for differential gene expression

Bioconductor version: Release (3.3)

Fully Bayesian mixture models for differential gene expression

Author: Alex Lewin, Natalia Bochkina

Maintainer: Alex Lewin <a.m.lewin at imperial.ac.uk>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("BGmix")

 

PDF R Script BGmix Tutorial
PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, MultipleComparison, Software
Version 1.32.0
In Bioconductor since BioC 2.2 (R-2.7) (8.5 years)
License GPL-2
Depends R (>= 2.3.1), KernSmooth
Imports
LinkingTo
Suggests
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 BGmix_1.32.0.tar.gz
Windows Binary
Mac OS X 10.9 (Mavericks) BGmix_1.32.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/BGmix/tree/release-3.3
Package Short Url http://bioconductor.org/packages/BGmix/
Package Downloads Report Download Stats

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