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
Date of publication
None
Maintainer
Yann Ruffieux <yann.ruffieux@epfl.ch>
License
GPL (>= 2)
Version
1.40.0
URLs

View on Bioconductor

Man pages

lapmix.Fit
Empirical Bayes Statistics for Differential Expression under...
lapmix-internal
Internal Lapmix Functions
laptopTable
Table of Top Genes from Laplace Linear Model Fit
lap.volcanoplot
Laplace Volcano Plot

Files in this package

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