To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("EmpiricalBrownsMethod")
    In most cases, you don't need to download the package archive at all.
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    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")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("EmpiricalBrownsMethod")
    | HTML | R Script | Empirical Browns Method | 
| Reference Manual | ||
| Text | NEWS | |
| Text | LICENSE | 
| biocViews | GeneExpression, Pathways, Software, StatisticalMethod | 
| Version | 1.4.0 | 
| In Bioconductor since | BioC 3.3 (R-3.3) (1.5 years) | 
| 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 | 
Follow Installation instructions to use this package in your R session.
| Source Package | 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 | 
| Source Repository | git clone https://git.bioconductor.org/packages/EmpiricalBrownsMethod | 
| Package Short Url | http://bioconductor.org/packages/EmpiricalBrownsMethod/ | 
| Package Downloads Report | Download Stats | 
 
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