lapmix

Laplace Mixture Model in Microarray Experiments

Bioconductor version: Release (2.7)

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

To install this package, start R and enter:

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

Documentation

PDF

R Script

lapmix example

Reference Manual

Details

biocViews	Bioinformatics, Microarray, OneChannel, DifferentialExpression
Depends	R, stats
Imports	Biobase, graphics, grDevices, methods, stats, tools, utils
Suggests
System Requirements
License	GPL (>= 2)
URL	http://www.r-project.org, http://www.bioconductor.org, http://stat.epfl.ch
Depends On Me
Imports Me
Suggests Me
Version	1.16.0

Package Downloads

Package Source	lapmix_1.16.0.tar.gz
Windows Binary	lapmix_1.16.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	lapmix_1.16.0.tgz
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