DOI: 10.18129/B9.bioc.BayesKnockdown  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see BayesKnockdown.

BayesKnockdown: Posterior Probabilities for Edges from Knockdown Data

Bioconductor version: 3.17

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")):


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PDF R Script BayesKnockdown.pdf
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biocViews Bayesian, GeneExpression, GeneTarget, Network, NetworkInference, Software
Version 1.26.0
In Bioconductor since BioC 3.4 (R-3.3) (7 years)
License GPL-3
Depends R (>= 3.3)
Imports stats, Biobase
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