lapmix

Laplace Mixture Model in Microarray Experiments

Bioconductor version: 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 <yann.ruffieux at epfl.ch>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

 citation("lapmix")

Documentation

PDF R Script lapmix example
PDF Reference Manual

Details

biocViews Bioinformatics, Microarray, OneChannel, DifferentialExpression
Depends R (>= 2.6.0), 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
Since Bioconductor 1.9 (R-2.4)

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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