source("http://bioconductor.org/biocLite.R")
biocLite("lapmix")

lapmix

Laplace Mixture Model in Microarray Experiments

Bioconductor version: 2.13

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:

source("http://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	Bioinformatics, DifferentialExpression, Microarray, OneChannel, Software
Version	1.28.0
In Bioconductor since	BioC 1.9 (R-2.4)
License	GPL (>= 2)
Depends	R (>= 2.6.0), stats
Imports	Biobase, graphics, grDevices, methods, stats, tools, utils
Suggests
System Requirements
URL	http://www.r-project.org http://www.bioconductor.org http://stat.epfl.ch
Depends On Me
Imports Me
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Package Archives

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

Package Source	lapmix_1.28.0.tar.gz
Windows Binary	lapmix_1.28.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	lapmix_1.28.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats