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.

AuthorYann Ruffieux, contributions from Debjani Bhowmick, Anthony C. Davison, and Darlene R. Goldstein
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

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

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