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BayesKnockdown
This is the released version of BayesKnockdown; for the devel version, see BayesKnockdown.
BayesKnockdown: Posterior Probabilities for Edges from Knockdown Data
Bioconductor version: Release (3.22)
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 uw.edu>
citation("BayesKnockdown")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("BayesKnockdown")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BayesKnockdown")
Details
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Package Archives
Follow Installation instructions to use this package in your R session.