To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("lapmix")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.4)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("lapmix")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("lapmix")
R Script | lapmix example | |
Reference Manual |
biocViews | DifferentialExpression, Microarray, OneChannel, Software |
Version | 1.40.0 |
In Bioconductor since | BioC 1.9 (R-2.4) (10.5 years) |
License | GPL (>= 2) |
Depends | R (>= 2.6.0), stats |
Imports | Biobase, graphics, grDevices, methods, stats, tools, utils |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | http://www.r-project.org http://www.bioconductor.org http://stat.epfl.ch |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | lapmix_1.40.0.tar.gz |
Windows Binary | lapmix_1.40.0.zip |
Mac OS X 10.9 (Mavericks) | lapmix_1.40.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/lapmix/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/lapmix/ |
Package Downloads Report | Download Stats |
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