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

Laplace Mixture Model in Microarray Experiments

Bioconductor version: Development (3.20)

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 "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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:

lapmix example PDF R Script
Reference Manual PDF


biocViews DifferentialExpression, Microarray, OneChannel, Software
Version 1.71.0
In Bioconductor since BioC 1.9 (R-2.4) (18 years)
License GPL (>= 2)
Depends R (>= 2.6.0), stats
Imports Biobase, graphics, grDevices, methods, stats, tools, utils
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Source Package lapmix_1.71.0.tar.gz
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