To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("BayesKnockdown")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
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 (from within R,
enter citation("BayesKnockdown")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("BayesKnockdown")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BayesKnockdown")
Follow Installation instructions to use this package in your R session.
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