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