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.
|Bioconductor views||GeneExpression Pathways StatisticalMethod|
|Maintainer||David Gibbs <firstname.lastname@example.org>|
|License||MIT + file LICENSE|
|Package repository||View on Bioconductor|
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