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EmpiricalBrownsMethod

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

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3

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

DOI: 10.18129/B9.bioc.EmpiricalBrownsMethod

Bioconductor version: Development (3.24)

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")):

William Poole. EmpiricalBrownsMethod: Uses Brown's method to combine p-values from dependent tests. doi:10.18129/B9.bioc.EmpiricalBrownsMethod, R package version 1.41.0, https://bioconductor.org/packages/EmpiricalBrownsMethod.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("EmpiricalBrownsMethod")

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("EmpiricalBrownsMethod")

Details

Package Archives

Follow Installation instructions to use this package in your R session.