Package: EmpiricalBrownsMethod 1.35.0

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-1.35.0(bioc 3.21)EmpiricalBrownsMethod-1.34.0(bioc 3.20)

statisticalmethodgeneexpressionpathways

5.65 score 25 stars 3 packages 7 scripts 262 downloads 1 mentions 2 exports 0 dependencies

Last updated 2 months agofrom:73676a6fc9. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-winNOTENov 29 2024
R-4.5-linuxNOTENov 29 2024
R-4.4-winNOTENov 29 2024
R-4.4-macNOTENov 29 2024
R-4.3-winNOTENov 29 2024
R-4.3-macNOTENov 29 2024

Exports:empiricalBrownsMethodkostsMethod

Dependencies:

Empirical Browns Method

Rendered fromebmVignette.Rmdusingknitr::rmarkdownon Nov 29 2024.

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