Technique Tales | A nontraditional use of RRHO: finding what doesn’t overlap in omics comparisons
When comparing two sets of omics results, it’s easy to focus on what features overlap. But what if you want to know what makes them distinct? This article walks through an alternative use of Rank-Rank Hypergeometric Overlap (RRHO) testing, which is typically used to identify shared features, and shows how it can reveal what sets two conditions apart. RRHO is a method that compares two ranked lists, either based on p-values or effect sizes, to identify statistically significant overlap. It’s often used as a post-hoc test for summary statistics of high-throughput data like differential gene expression, ChIP-seq or ATAC-seq. As...
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