BayesKnockdown
BayesKnockdown: Posterior Probabilities for Edges from Knockdown Data
Bioconductor version: Release (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("BayesKnockdown")):
Installation
To install this package, start R (version "4.4") 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")| BayesKnockdown.pdf | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Bayesian, GeneExpression, GeneTarget, Network, NetworkInference, Software |
| Version | 1.30.0 |
| In Bioconductor since | BioC 3.4 (R-3.3) (8 years) |
| License | GPL-3 |
| Depends | R (>= 3.3) |
| Imports | stats, Biobase |
| System Requirements | |
| URL |
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| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | BayesKnockdown_1.30.0.tar.gz |
| Windows Binary (x86_64) | BayesKnockdown_1.30.0.zip |
| macOS Binary (x86_64) | BayesKnockdown_1.30.0.tgz |
| macOS Binary (arm64) | BayesKnockdown_1.30.0.tgz |
| 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 |