To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("EmpiricalBrownsMethod")

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EmpiricalBrownsMethod

 

   

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

Bioconductor version: Release (3.5)

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>

Citation (from within R, enter citation("EmpiricalBrownsMethod")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("EmpiricalBrownsMethod")

Documentation

HTML R Script Empirical Browns Method
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews GeneExpression, Pathways, Software, StatisticalMethod
Version 1.4.0
In Bioconductor since BioC 3.3 (R-3.3) (1 year)
License MIT + file LICENSE
Depends R (>= 3.2.0)
Imports
LinkingTo
Suggests BiocStyle, testthat, knitr, rmarkdown
SystemRequirements
Enhances
URL https://github.com/IlyaLab/CombiningDependentPvaluesUsingEBM.git
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source EmpiricalBrownsMethod_1.4.0.tar.gz
Windows Binary EmpiricalBrownsMethod_1.4.0.zip
Mac OS X 10.11 (El Capitan) EmpiricalBrownsMethod_1.4.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/EmpiricalBrownsMethod/tree/release-3.5
Package Short Url http://bioconductor.org/packages/EmpiricalBrownsMethod/
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