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Showing content from https://www.bioconductor.org/packages/release/bioc/html/EmpiricalBrownsMethod.html below:

Bioconductor - EmpiricalBrownsMethod

This is the released version of EmpiricalBrownsMethod; for the devel version, see EmpiricalBrownsMethod.

Bioconductor version: Release (3.21)

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>

To install this package, start R (version "4.5") and enter:

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

BiocManager::install("EmpiricalBrownsMethod")

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:

browseVignettes("EmpiricalBrownsMethod")

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

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