BayesKnockdown

This is the released version of BayesKnockdown; for the devel version, see BayesKnockdown.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4

BayesKnockdown: Posterior Probabilities for Edges from Knockdown Data

Bioconductor version: Release (3.23)

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")):

William Chad Young. BayesKnockdown: BayesKnockdown: Posterior Probabilities for Edges from Knockdown Data. doi:10.18129/B9.bioc.BayesKnockdown, R package version 1.38.0, https://bioconductor.org/packages/BayesKnockdown.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("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")

networkBMA	PDF	R Script
Reference Manual	PDF
NEWS	Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Bayesian, GeneExpression, GeneTarget, Network, NetworkInference, Software
Version	1.38.0
In Bioconductor since	BioC 3.4 (R-3.3) (10 years)
License	GPL-3
Depends	R (>= 3.3)
Imports	stats, Biobase
System Requirements
URL

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Build Report	Build Report, r-universe

Package Archives

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

Source Package	BayesKnockdown_1.38.0.tar.gz
Windows Binary (x86_64)	BayesKnockdown_1.38.0.zip
macOS Binary (big-sur-x86_64)	BayesKnockdown_1.38.0.tgz
macOS Binary (sonoma-arm64)	BayesKnockdown_1.38.0.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