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")

Documentation

Package Downloads

lapmix example

Reference Manual

Package source	lapmix_1.8.0.tar.gz
Windows binary	lapmix_1.8.0.zip
MacOS X 10.4 (Tiger) binary	lapmix_1.8.0.tgz
MacOS X 10.5 (Leopard) binary	lapmix_1.8.0.tgz
Package Downloads Report	Downloads Stats

Details

biocViews	Statistics , Microarray , OneChannel , DifferentialExpression
Depends	R , Biobase
Imports
Suggests
System Requirements
License	GPL version 2 or newer
URL	http://www.r-project.org, http://www.bioconductor.org, http://stat.epfl.ch
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Development History	Bioconductor Changelog