Package: EmpiricalBrownsMethod 1.41.0

David Gibbs

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

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.

Authors:William Poole

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manual.pdf |manual.html
card.svg |card.png
EmpiricalBrownsMethod/json (API)
NEWS

# Install 'EmpiricalBrownsMethod' in R:
install.packages('EmpiricalBrownsMethod', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ilyalab/combiningdependentpvaluesusingebm/issues

Datasets:
  • allPvals - Data used in tests and examples.
  • dat - Data used in tests and examples.
  • pathways - Data used in tests and examples.
  • randData - Data used in tests and examples.

On BioConductor:EmpiricalBrownsMethod-1.41.0(bioc 3.24)EmpiricalBrownsMethod-1.40.0(bioc 3.23)

statisticalmethodgeneexpressionpathways

5.73 score 25 stars 3 packages 12 scripts 398 downloads 1 mentions 2 exports 0 dependencies

Last updated from:fadc1da645. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR144
linux-devel-x86_64NOTE145
source / vignettesOK148
linux-release-x86_64NOTE141
macos-release-arm64NOTE69
macos-oldrel-arm64NOTE111
windows-develNOTE79
windows-releaseNOTE77
windows-oldrelNOTE68
wasm-releaseOK91

Exports:empiricalBrownsMethodkostsMethod

Dependencies:

Empirical Browns Method

Rendered fromebmVignette.Rmdusingknitr::rmarkdownon Jun 10 2026.

Last update: 2016-01-26
Started: 2016-01-26