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.
Bioconductor version: Release (3.4)
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 | 1.2.0 |
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 |
Follow Installation instructions to use this package in your R session.
Package Source | EmpiricalBrownsMethod_1.2.0.tar.gz |
Windows Binary | EmpiricalBrownsMethod_1.2.0.zip |
Mac OS X 10.9 (Mavericks) | EmpiricalBrownsMethod_1.2.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/EmpiricalBrownsMethod/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/EmpiricalBrownsMethod/ |
Package Downloads Report | Download Stats |
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