lapmix
Laplace Mixture Model in Microarray Experiments
Bioconductor version: Release (3.17)
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 "4.3") 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 | 1.66.0 |
| In Bioconductor since | BioC 1.9 (R-2.4) (17 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 |
See More
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| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | lapmix_1.66.0.tar.gz |
| Windows Binary | lapmix_1.66.0.zip |
| macOS Binary (x86_64) | lapmix_1.66.0.tgz |
| macOS Binary (arm64) | lapmix_1.66.0.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 |