BayesKnockdown

DOI: 10.18129/B9.bioc.BayesKnockdown    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see BayesKnockdown.

BayesKnockdown: Posterior Probabilities for Edges from Knockdown Data

Bioconductor version: 3.8

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 "3.5") 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 1.8.0
In Bioconductor since BioC 3.4 (R-3.3) (2.5 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_1.8.0.tar.gz
Windows Binary BayesKnockdown_1.8.0.zip
Mac OS X 10.11 (El Capitan) BayesKnockdown_1.8.0.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 http://bioconductor.org/packages/BayesKnockdown/
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