lapmix

DOI: 10.18129/B9.bioc.lapmix    

Laplace Mixture Model in Microarray Experiments

Bioconductor version: Release (3.6)

Laplace mixture modelling of microarray experiments. A hierarchical Bayesian approach is used, and the hyperparameters are estimated using empirical Bayes. The main purpose is to identify differentially expressed genes.

Author: Yann Ruffieux, contributions from Debjani Bhowmick, Anthony C. Davison, and Darlene R. Goldstein

Maintainer: Yann Ruffieux <yann.ruffieux at epfl.ch>

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("lapmix")

 

PDF	R Script	lapmix example
PDF		Reference Manual

Details

biocViews	DifferentialExpression, Microarray, OneChannel, Software
Version	1.44.0
In Bioconductor since	BioC 1.9 (R-2.4) (11.5 years)
License	GPL (>= 2)
Depends	R (>= 2.6.0), stats
Imports	Biobase, graphics, grDevices, methods, stats, tools, utils
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URL	http://www.r-project.org http://www.bioconductor.org http://stat.epfl.ch
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Build Report

Package Archives

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

Source Package	lapmix_1.44.0.tar.gz
Windows Binary	lapmix_1.44.0.zip
Mac OS X 10.11 (El Capitan)	lapmix_1.44.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/lapmix
Package Short Url	http://bioconductor.org/packages/lapmix/
Package Downloads Report	Download Stats