Bioconductor-mirror/lapmix: Laplace Mixture Model in Microarray Experiments
Version 1.43.0

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.

Getting started

Package details

AuthorYann Ruffieux, contributions from Debjani Bhowmick, Anthony C. Davison, and Darlene R. Goldstein
Bioconductor views DifferentialExpression Microarray OneChannel
MaintainerYann Ruffieux <[email protected]>
LicenseGPL (>= 2)
Version1.43.0
URL http://www.r-project.org http://www.bioconductor.org http://stat.epfl.ch
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/lapmix")
Bioconductor-mirror/lapmix documentation built on June 1, 2017, 10:48 a.m.