DOI: 10.18129/B9.bioc.lapmix    

This is the development version of lapmix; for the stable release version, see lapmix.

Laplace Mixture Model in Microarray Experiments

Bioconductor version: Development (3.9)

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 <yann.ruffieux at>

Citation (from within R, enter citation("lapmix")):


To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
BiocManager::install("lapmix", version = "3.9")

For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:



PDF R Script lapmix example
PDF   Reference Manual


biocViews DifferentialExpression, Microarray, OneChannel, Software
Version 1.49.0
In Bioconductor since BioC 1.9 (R-2.4) (12.5 years)
License GPL (>= 2)
Depends R (>= 2.6.0), stats
Imports Biobase, graphics, grDevices, methods, stats, tools, utils
Depends On Me
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Source Package lapmix_1.49.0.tar.gz
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Mac OS X 10.11 (El Capitan) lapmix_1.49.0.tgz
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