lapmix

Laplace Mixture Model in Microarray Experiments


Bioconductor version: Release (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 epfl.ch>

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

Installation

To install this package, start R (version "4.4") 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 1.72.0
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
System Requirements
URL http://www.r-project.org http://www.bioconductor.org http://stat.epfl.ch
See More
Suggests
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package lapmix_1.72.0.tar.gz
Windows Binary (x86_64) lapmix_1.72.0.zip
macOS Binary (x86_64) lapmix_1.72.0.tgz
macOS Binary (arm64) lapmix_1.71.0.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/
Package Downloads Report Download Stats