DOI: 10.18129/B9.bioc.EmpiricalBrownsMethod    

This is the development version of EmpiricalBrownsMethod; for the stable release version, see EmpiricalBrownsMethod.

Uses Brown's method to combine p-values from dependent tests

Bioconductor version: Development (3.9)

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.

Author: William Poole

Maintainer: David Gibbs <dgibbs at systemsbiology.org>

Citation (from within R, enter citation("EmpiricalBrownsMethod")):


To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
BiocManager::install("EmpiricalBrownsMethod", version = "3.9")

For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:



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biocViews GeneExpression, Pathways, Software, StatisticalMethod
Version 1.11.0
In Bioconductor since BioC 3.3 (R-3.3) (3 years)
License MIT + file LICENSE
Depends R (>= 3.2.0)
Suggests BiocStyle, testthat, knitr, rmarkdown
URL https://github.com/IlyaLab/CombiningDependentPvaluesUsingEBM.git
Depends On Me
Imports Me NADfinder
Suggests Me
Links To Me
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Source Package EmpiricalBrownsMethod_1.11.0.tar.gz
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Package Short Url http://bioconductor.org/packages/EmpiricalBrownsMethod/
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