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lapmix

Laplace Mixture Model in Microarray Experiments


Bioconductor version: Release (3.18)

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 epfl.ch>

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

Installation

To install this package, start R (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("lapmix")

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

Documentation

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

browseVignettes("lapmix")
lapmix example PDF R Script
Reference Manual PDF

Details

biocViews DifferentialExpression, Microarray, OneChannel, Software
Version 1.68.0
In Bioconductor since BioC 1.9 (R-2.4) (17.5 years)
License GPL (>= 2)
Depends R (>= 2.6.0), stats
Imports Biobase, graphics, grDevices, methods, stats, tools, utils
System Requirements
URL http://www.r-project.org http://www.bioconductor.org http://stat.epfl.ch
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package lapmix_1.68.0.tar.gz
Windows Binary lapmix_1.68.0.zip
macOS Binary (x86_64) lapmix_1.68.0.tgz
macOS Binary (arm64) lapmix_1.68.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/lapmix
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/lapmix
Bioc Package Browser https://code.bioconductor.org/browse/lapmix/
Package Short Url https://bioconductor.org/packages/lapmix/
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