BayesKnockdown

DOI: 10.18129/B9.bioc.BayesKnockdown    

BayesKnockdown: Posterior Probabilities for Edges from Knockdown Data

Bioconductor version: Release (3.6)

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("BayesKnockdown")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("BayesKnockdown")

 

PDF	R Script	BayesKnockdown.pdf
PDF		Reference Manual
Text		NEWS

Details

biocViews	Bayesian, GeneExpression, GeneTarget, Network, NetworkInference, Software
Version	1.4.0
In Bioconductor since	BioC 3.4 (R-3.3) (1.5 years)
License	GPL-3
Depends	R (>= 3.3)
Imports	stats, Biobase
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	BayesKnockdown_1.4.0.tar.gz
Windows Binary	BayesKnockdown_1.4.0.zip
Mac OS X 10.11 (El Capitan)	BayesKnockdown_1.4.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/BayesKnockdown
Package Short Url	http://bioconductor.org/packages/BayesKnockdown/
Package Downloads Report	Download Stats