BayesKnockdown

DOI: 10.18129/B9.bioc.BayesKnockdown    

BayesKnockdown: Posterior Probabilities for Edges from Knockdown Data

Bioconductor version: Release (3.8)

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")):

Installation

To install this package, start R and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("BayesKnockdown", version = "3.8")

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 1.8.0
In Bioconductor since BioC 3.4 (R-3.3) (2 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  

Package Archives

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

Source Package BayesKnockdown_1.8.0.tar.gz
Windows Binary BayesKnockdown_1.8.0.zip
Mac OS X 10.11 (El Capitan) BayesKnockdown_1.8.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/BayesKnockdown
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BayesKnockdown
Package Short Url http://bioconductor.org/packages/BayesKnockdown/
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