View source: R/statistical_tests.r
| orderedHypergeometric | R Documentation | 
Perform a series of hypergeometric tests (a.k.a. Fisher's Exact tests), on a ranked list of genes ordered by significance against a list of annotation genes. The hypergeometric tests are executed with increasingly larger numbers of genes representing the top genes in order of decreasing scores. The lowest p-value of the series is returned as the optimal enriched intersection of the ranked list of genes and the biological term (pathway).
orderedHypergeometric(genelist, background, annotations)
| genelist | Character vector of gene names, assumed to be ordered by decreasing importance. For example, the genes could be ranked by decreasing significance of differential expression. | 
| background | Character vector of gene names. List of all genes used as a statistical background (i.e., the universe). | 
| annotations | Character vector of gene names. A gene set representing a functional term, process or biological pathway. | 
a list with the items:
The lowest obtained p-value
The index of genelist such that genelist[1:ind]
gives the lowest p-value
   orderedHypergeometric(c('HERC2', 'SP100'), c('PHC2', 'BLM', 'XPC', 'SMC3', 'HERC2', 'SP100'),
                         c('HERC2', 'PHC2', 'BLM'))
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