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.

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("EmpiricalBrownsMethod")
AuthorWilliam Poole
Bioconductor views GeneExpression Pathways StatisticalMethod
Date of publicationNone
MaintainerDavid Gibbs <dgibbs@systemsbiology.org>
LicenseMIT + file LICENSE
Version1.4.0
https://github.com/IlyaLab/CombiningDependentPvaluesUsingEBM.git

View on Bioconductor

Files

DESCRIPTION
LICENSE
NAMESPACE
R
R/ebm.R
build
build/vignette.rds
data
data/ebmTestData.RData
inst
inst/NEWS
inst/doc
inst/doc/ebmVignette.R
inst/doc/ebmVignette.Rmd
inst/doc/ebmVignette.html
man
man/ebmTestData.Rd man/empiricalBrownsMethod.Rd man/kostsMethod.Rd
tests
tests/test-all.R
tests/testthat
tests/testthat/test_ebm_main.R
vignettes
vignettes/ebmVignette.Rmd
vignettes/ebmVignette.md

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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