lapmix

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

Laplace Mixture Model in Microarray Experiments


Bioconductor version: Development (3.21)

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 "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("lapmix")

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

Documentation

Reference Manual PDF

Details

biocViews DifferentialExpression, Microarray, OneChannel, Software
Version 1.73.0
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
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Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
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 https://bioconductor.org/packages/lapmix/
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