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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.
Package details |
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Author | William Poole |
Bioconductor views | GeneExpression Pathways StatisticalMethod |
Maintainer | David Gibbs <dgibbs@systemsbiology.org> |
License | MIT + file LICENSE |
Version | 1.18.0 |
URL | https://github.com/IlyaLab/CombiningDependentPvaluesUsingEBM.git |
Package repository | View on Bioconductor |
Installation |
Install the latest version of this package by entering the following in R:
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