Package: BayesKnockdown
Title: BayesKnockdown: Posterior Probabilities for Edges from Knockdown
        Data
Version: 1.36.0
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
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2025-10-29 14:33:37 UTC
RemoteUrl: https://github.com/bioc/BayesKnockdown
RemoteRef: RELEASE_3_22
RemoteSha: 508624d3bcc009916efb96b663c0056863a36e7e
NeedsCompilation: no
Packaged: 2025-11-18 07:24:33 UTC; root
Built: R 4.5.2; ; 2025-11-18 07:25:48 UTC; windows
