Package: BayesKnockdown
Title: BayesKnockdown: Posterior Probabilities for Edges from Knockdown
        Data
Version: 1.38.0
Date: 2016-06-28
Author: William Chad Young
Maintainer: William Chad Young <wmchad@uw.edu>
Description: 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.
Depends: R (>= 3.3)
Imports: stats, Biobase
License: GPL-3
biocViews: NetworkInference, GeneExpression, GeneTarget, Network,
        Bayesian
LazyData: true
git_url: https://git.bioconductor.org/packages/BayesKnockdown
git_branch: RELEASE_3_23
git_last_commit: c5bb2ca
git_last_commit_date: 2026-04-28
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28
NeedsCompilation: no
Packaged: 2026-04-28 20:46:03 UTC; biocbuild
Built: R 4.6.0; ; 2026-04-29 20:20:52 UTC; unix
