Statistical Enrichment in Ranked Lists with Applications in Transcriptomics and Epigenomics

Zohar Yakhini
Agilent Labs and the Technion

The minimum-hyper-geometric (mHG) model is the basis of a statistical approach that assesses the enrichment of a set of elements at the top of a ranked list. We will describe a complete characterization of the distribution of several associated random variables. We applied variants of this approach to develop several web applications, including GOrilla, as well as to several biological studies. These include a study methylation in mammals and an analysis of miRNA expression in cancer and disease. In the talk we will discuss the results of these studies.

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