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Showing content from https://www.bioconductor.org/packages/devel/bioc/html/../html/BayesKnockdown.html below:

Bioconductor - BayesKnockdown (development version)

This is the development version of BayesKnockdown; for the stable release version, see BayesKnockdown.

Bioconductor version: Development (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>

To install this package, start R (version "4.5") and enter:

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("BayesKnockdown")

For older versions of R, please refer to the appropriate Bioconductor release.

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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