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BayesKnockdown

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

BayesKnockdown: Posterior Probabilities for Edges from Knockdown Data


Bioconductor version: Development (3.19)

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")):

Installation

To install this package, start R (version "4.4") 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.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("BayesKnockdown")
BayesKnockdown.pdf PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews Bayesian, GeneExpression, GeneTarget, Network, NetworkInference, Software
Version 1.29.0
In Bioconductor since BioC 3.4 (R-3.3) (7.5 years)
License GPL-3
Depends R (>= 3.3)
Imports stats, Biobase
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package BayesKnockdown_1.29.0.tar.gz
Windows Binary BayesKnockdown_1.29.0.zip
macOS Binary (x86_64) BayesKnockdown_1.29.0.tgz
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/BayesKnockdown
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BayesKnockdown
Bioc Package Browser https://code.bioconductor.org/browse/BayesKnockdown/
Package Short Url https://bioconductor.org/packages/BayesKnockdown/
Package Downloads Report Download Stats