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.

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("lapmix")
AuthorYann Ruffieux, contributions from Debjani Bhowmick, Anthony C. Davison, and Darlene R. Goldstein
Bioconductor views DifferentialExpression Microarray OneChannel
Date of publicationNone
MaintainerYann Ruffieux <yann.ruffieux@epfl.ch>
LicenseGPL (>= 2)
Version1.40.0
http://www.r-project.org
http://www.bioconductor.org, http://stat.epfl.ch

View on Bioconductor

Files

DESCRIPTION
NAMESPACE
R
R/lap.volcanoplot.R R/lapmix.Fit.R R/laptopTable.R R/lp.estimates.R R/lp.marginals.R R/post.odds.R
build
build/vignette.rds
inst
inst/doc
inst/doc/lapmix-example.R
inst/doc/lapmix-example.Rnw
inst/doc/lapmix-example.pdf
man
man/lap.volcanoplot.Rd man/lapmix-internal.Rd man/lapmix.Fit.Rd man/laptopTable.Rd
vignettes
vignettes/lapmix-example.Rnw

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