BayesKnockdown
BayesKnockdown: Posterior Probabilities for Edges from Knockdown Data
Bioconductor version: 3.23 · Package version: 1.38.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("BayesKnockdown")Details
| Maintainer | William Chad Young <wmchad@uw.edu> |
| Author | William Chad Young |
| License | GPL-3 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Bayesian, GeneExpression, GeneTarget, Network, NetworkInference, Software |
| Package Short Url | https://bioconductor.org/packages/BayesKnockdown/ |
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.
Documentation
Download
Follow the 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 (arm64) | BayesKnockdown_1.38.0.tgz |
| macOS binary (x86_64) | BayesKnockdown_1.38.0.tgz |