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Activity Number: 394 - Brushing up Your Skills in Genomic Data Analysis
Type: Topic Contributed
Date/Time: Tuesday, July 30, 2019 : 2:00 PM to 3:50 PM
Sponsor: Korean International Statistical Society
Abstract #303095
Title: Combining Multiple Genomic Data Sets
Author(s): Sihai Zhao*
Companies: University of Illinois at Urbana-Champaign
Keywords: Integrative genomics; False discovery rate; Compound decision theory; Empirical Bayes; Mediation analysis; High-dimensional inference

Important biological insights can arise from the joint analysis of multiple datasets. This talk will focus on three types of joint analyses useful in genomics: signal classification, multivariate regression, and mediation analysis. Selected examples from the literature will be reviewed. New methods for each type of analysis will also be presented, building on recent developments in false discovery rate control, compound decision theory and empirical Bayes, and high-dimensional inference methodologies. These three case studies will hopefully stimulate ideas for creative analysis strategies based on combining multiple genomic datasets.

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

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