lapmix
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see lapmix.
Laplace Mixture Model in Microarray Experiments
Bioconductor version: 3.19
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 "4.4") 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 | R Script | |
Reference Manual |
Details
biocViews | DifferentialExpression, Microarray, OneChannel, Software |
Version | 1.70.0 |
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 | lapmix_1.70.0.tar.gz |
Windows Binary (x86_64) | lapmix_1.70.0.zip |
macOS Binary (x86_64) | lapmix_1.70.0.tgz |
macOS Binary (arm64) | lapmix_1.70.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/lapmix |
Source Repository (Developer Access) | git clone [email protected]:packages/lapmix |
Bioc Package Browser | https://code.bioconductor.org/browse/lapmix/ |
Package Short Url | https://bioconductor.org/packages/lapmix/ |
Package Downloads Report | Download Stats |