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Activity Details

109 * ! Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-329
Learning from External Covariates in High-Dimensional Genomic Data Analysis — Topic Contributed Papers
Section on Statistics in Genomics and Genetics , Section on Statistical Learning and Data Science
Organizer(s): Simina Boca, Georgetown University Medical Center
Chair(s): Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
8:35 AM A Regression Framework for the Proportion of True Null Hypotheses Simina Boca, Georgetown University Medical Center ; Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
8:55 AM Covariate-Powered Weighted Multiple Testing with False Discovery Rate Control Huber Wolfgang, EMBL ; Nikos Ignatiadis, Stanford University
9:15 AM Data-Driven Penalization for High-Dimensional Regression and Classification Using External Covariates Britta Velten, EMBL Heidelberg ; Wolfgang Huber, EMBL Heidelberg
9:35 AM Empirical Bayes Learning from Co-Data in High-Dimensional Prediction Settings Mark Van De Wiel, VU University medical center
9:55 AM Floor Discussion
 
 
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