BayesKnockdown

BayesKnockdown: Posterior Probabilities for Edges from Knockdown Data

Bioconductor version: 3.23 · Package version: 1.38.0

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.

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("BayesKnockdown")