To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("BayesKnockdown")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.4)
A simple, fast Bayesian method for computing posterior probabilities for relationships between a single predictor variable and multiple potential outcome variables, incorporating prior probabilities of relationships. In the context of knockdown experiments, the predictor variable is the knocked-down gene, while the other genes are potential targets. Can also be used for differential expression/2-class data.
Author: William Chad Young
Maintainer: William Chad Young <wmchad at uw.edu>
Citation (from within R,
enter citation("BayesKnockdown")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("BayesKnockdown")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BayesKnockdown")
R Script | BayesKnockdown.pdf | |
Reference Manual | ||
Text | NEWS |
biocViews | Bayesian, GeneExpression, GeneTarget, Network, NetworkInference, Software |
Version | 1.0.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (0.5 years) |
License | GPL-3 |
Depends | R (>= 3.3) |
Imports | stats, Biobase |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
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Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | BayesKnockdown_1.0.0.tar.gz |
Windows Binary | BayesKnockdown_1.0.0.zip |
Mac OS X 10.9 (Mavericks) | BayesKnockdown_1.0.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/BayesKnockdown/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/BayesKnockdown/ |
Package Downloads Report | Download Stats |
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