lapmix

Laplace Mixture Model in Microarray Experiments

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

Vignettes (Documentation)

Package Downloads

lapmix-example.pdf

Source	lapmix_1.4.0.tar.gz
Windows binary	lapmix_1.4.0.zip
OS X binary	lapmix_1.4.0.tgz

Details

biocViews	Statistics , Microarray , OneChannel , DifferentialExpression
Depends	R
Suggests
Imports
SystemRequirements
License	GPL version 2 or newer
URL	http://www.r-project.org, http://www.bioconductor.org, http://stat.epfl.ch
dependsOnMe
suggestsMe