lapmix

DOI: 10.18129/B9.bioc.lapmix    

Laplace Mixture Model in Microarray Experiments

Bioconductor version: Release (3.8)

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 "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("lapmix", version = "3.8")

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")

 

PDF R Script lapmix example
PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, OneChannel, Software
Version 1.48.0
In Bioconductor since BioC 1.9 (R-2.4) (12 years)
License GPL (>= 2)
Depends R (>= 2.6.0), stats
Imports Biobase, graphics, grDevices, methods, stats, tools, utils
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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_1.48.0.tar.gz
Windows Binary lapmix_1.48.0.zip
Mac OS X 10.11 (El Capitan) lapmix_1.48.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/lapmix
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/lapmix
Package Short Url http://bioconductor.org/packages/lapmix/
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