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Activity Number: 682
Type: Topic Contributed
Date/Time: Thursday, August 4, 2016 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract #320265
Title: Measuring Bumps: Intervals for Effect Size of Selected Regions in Genomic Signal
Author(s): Yuval Benjamini* and Rafael A. Irizarry and Jonathan Taylor
Companies: Hebrew University and Dana-Farber Cancer Institute and Stanford University
Keywords: Selective Inference ; Non-stationary process ; DNA Methylation ; Confidence intervals ; bump-hunting

Often in genomics, scientists search for regions of the genome that are involved in biological processes. High-throughput technologies are used to define regions of interest while screening away most of the genome, as only a handful of regions will be verified in expensive follow up studies. Due to non-stationarity, it is hard to decide which regions to keep based on heuristics or even p-values. In this talk, I will describe our approach to characterizing such regions in terms of an interpretable population parameter. By methods of conditional inference, we can estimate and derive region-wise intervals for this quantity, accounting for both the selection and the local covariance. I will demonstrate the method effectiveness for evaluating differentially methylated regions (mDNA) between different tissues types.

Authors who are presenting talks have a * after their name.

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