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("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 |
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 |
See More
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Build Report | Build Report |
Package Archives
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/ |
Package Downloads Report | Download Stats |