DOI: 10.18129/B9.bioc.BayesKnockdown    

This is the development version of BayesKnockdown; for the stable release version, see BayesKnockdown.

BayesKnockdown: Posterior Probabilities for Edges from Knockdown Data

Bioconductor version: Development (3.9)

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>

Citation (from within R, enter citation("BayesKnockdown")):


To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
BiocManager::install("BayesKnockdown", version = "3.9")

For older versions of R, please refer to the appropriate Bioconductor release.


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



PDF R Script BayesKnockdown.pdf
PDF   Reference Manual
Text   NEWS


biocViews Bayesian, GeneExpression, GeneTarget, Network, NetworkInference, Software
Version 1.9.0
In Bioconductor since BioC 3.4 (R-3.3) (2.5 years)
License GPL-3
Depends R (>= 3.3)
Imports stats, Biobase
Depends On Me
Imports Me
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Follow Installation instructions to use this package in your R session.

Source Package BayesKnockdown_1.9.0.tar.gz
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Mac OS X 10.11 (El Capitan) BayesKnockdown_1.9.0.tgz
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