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 (3.5)

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")):

To install this package, start R and enter:

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

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

biocViews	DifferentialExpression, Microarray, MultipleComparison, Software
Version	1.36.0
In Bioconductor since	BioC 2.2 (R-2.7) (9.5 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

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

Source Package	BGmix_1.36.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan)	BGmix_1.36.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/BGmix
Package Short Url	http://bioconductor.org/packages/BGmix/
Package Downloads Report	Download Stats

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