EmpiricalBrownsMethod
Uses Brown's method to combine p-values from dependent tests
Bioconductor version: 3.23 · Package version: 1.40.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
Combining P-values from multiple statistical tests is common in bioinformatics. However, this procedure is non-trivial for dependent P-values. This package implements an empirical adaptation of Brown’s Method (an extension of Fisher’s Method) for combining dependent P-values which is appropriate for highly correlated data sets found in high-throughput biological experiments.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("EmpiricalBrownsMethod")Details
| Maintainer | David Gibbs <dgibbs@systemsbiology.org> |
| Author | William Poole |
| License | MIT + file LICENSE |
| URL | https://github.com/IlyaLab/CombiningDependentPvaluesUsingEBM.git |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | GeneExpression, Pathways, Software, StatisticalMethod |
| Package Short Url | https://bioconductor.org/packages/EmpiricalBrownsMethod/ |
Citation
From within R, enter citation("EmpiricalBrownsMethod"):
William Poole. EmpiricalBrownsMethod: Uses Brown's method to combine p-values from dependent tests. doi:10.18129/B9.bioc.EmpiricalBrownsMethod, R package version 1.40.0, https://bioconductor.org/packages/EmpiricalBrownsMethod.
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 | EmpiricalBrownsMethod_1.40.0.tar.gz |
| Windows binary (x86_64) | EmpiricalBrownsMethod_1.40.0.zip |
| macOS binary (arm64) | EmpiricalBrownsMethod_1.40.0.tgz |
| macOS binary (x86_64) | EmpiricalBrownsMethod_1.40.0.tgz |