To install this package, start R and enter:

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

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

lapmix

Laplace Mixture Model in Microarray Experiments

Bioconductor version: 2.14

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>

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

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 DifferentialExpression, Microarray, OneChannel, Software
Version 1.30.0
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
Suggests Me

Package Archives

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

Package Source lapmix_1.30.0.tar.gz
Windows Binary lapmix_1.30.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) lapmix_1.30.0.tgz
Mac OS X 10.9 (Mavericks) lapmix_1.30.0.tgz
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