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EmpiricalBrownsMethod

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

Bioconductor version: 3.23 · Package version: 1.40.0

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

MaintainerDavid Gibbs <dgibbs@systemsbiology.org>
AuthorWilliam Poole
LicenseMIT + file LICENSE
URLhttps://github.com/IlyaLab/CombiningDependentPvaluesUsingEBM.git
Downloads rank421
Source branchRELEASE_3_23
biocViewsGeneExpression, Pathways, Software, StatisticalMethod

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageEmpiricalBrownsMethod_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
Dependencies

Depends: R (>= 3.2.0)

Suggests: BiocStyle, testthat, knitr, rmarkdown

Reverse dependencies

Depends On Me (1): poolVIM

Imports Me (2): EBSEA, NADfinder