BayesKnockdown

DOI: 10.18129/B9.bioc.BayesKnockdown    

This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see BayesKnockdown.

BayesKnockdown: Posterior Probabilities for Edges from Knockdown Data

Bioconductor version: 3.11

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>

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("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")

 

PDF	R Script	BayesKnockdown.pdf
PDF		Reference Manual
Text		NEWS

Details

biocViews	Bayesian, GeneExpression, GeneTarget, Network, NetworkInference, Software
Version	1.14.0
In Bioconductor since	BioC 3.4 (R-3.3) (4 years)
License	GPL-3
Depends	R (>= 3.3)
Imports	stats, Biobase
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	BayesKnockdown_1.14.0.tar.gz
Windows Binary	BayesKnockdown_1.14.0.zip
macOS 10.13 (High Sierra)	BayesKnockdown_1.14.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/BayesKnockdown
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/BayesKnockdown
Package Short Url	https://bioconductor.org/packages/BayesKnockdown/
Package Downloads Report	Download Stats