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BayesKnockdown

Bioc current

BayesKnockdown: Posterior Probabilities for Edges from Knockdown Data

v1.38.0 · software · GPL-3
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Release Lineage

Entered 3.4 · Oct 18, 2016

Current · Requires R 4.6

1.0 In 20 of 49 releases 3.23

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.

Code

Code metrics have not been computed for this package yet.

Topics

Software › BiologicalQuestion › NetworkInference
Software › AssayDomain › GeneExpression
Software › BiologicalQuestion › GeneTarget
Software › WorkflowStep › Visualization › Network
Software › StatisticalMethod › Bayesian

People

William Chad Young