Package: EmpiricalBrownsMethod 1.33.0

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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NEWS

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

Peer review:

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-1.33.0(bioc 3.20)EmpiricalBrownsMethod-1.32.0(bioc 3.19)

bioconductor-package

2 exports 1.45 score 0 dependencies 3 dependents 1 mentions

Last updated 2 months agofrom:94bebe99ee

Exports:empiricalBrownsMethodkostsMethod

Dependencies:

Empirical Browns Method

David L Gibbs

Rendered fromebmVignette.Rmdusingknitr::rmarkdownon Jun 30 2024.

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