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Updated: Jul 10, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
Overlapping probabilities of top ranking gene lists, hypergeometric distribution, and stringency of gene selection
Wen Fury1, Franak Batliwalla, Peter K Gregersen
1Regeneron Pharmaceutical Inc., Tarrytown, NY 10591, USA. wen.fury@regeneron.com
Abstract:
When the same set of genes appear in two top ranking gene lists in two different studies, it is often of interest to estimate the probability for this being a chance event. This overlapping probability is well known to follow the hypergeometric distribution. Usually, the lengths of top-ranking gene lists are assumed to be fixed, by using a pre-set criterion on, e.g., p-value for the t-test. We investigate how overlapping probability changes with the gene selection criterion, or simply, with the length of the top-ranking gene lists. It is concluded that overlapping probability is indeed a function of the gene list length, and its statistical significance should be quoted in the context of gene selection criterion.

