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Activity Details

635 * ! Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-316
Advanced Machine Learning Methods for Large-Scale Imaging Data — Invited Papers
Section on Statistical Learning and Data Science , Section on Statistics in Imaging , Section on Statistics in Genomics and Genetics
Organizer(s): Xuan Bi, Yale University
Chair(s): Xiwei Tang, University of Illinois at Urbana-Champaign
10:35 AM A Statistical Method for Advancing Neuroimaging Genetics Xuan Bi, Yale University ; Hongtu Zhu, The University of Texas MD Anderson Cancer Center ; Heping Zhang, Yale University School of Public Health
11:00 AM Bayesian Inference for the Directional Brain Network Modeled by High-Dimensional Damped Harmonic Oscillators Using ECoG Data Tingting Zhang, University of Virginia ; Qiannan Yin, University of Virginia ; Yinge Sun, University of Virginia ; Brian Scott Caffo, Johns Hopkins ; Dana Boatman-Reich, Johns Hopkins University
11:25 AM Convex clustering over an undirected graph Yunzhang Zhu, Ohio State University ; Vincent Vu, The Ohio State University
11:50 AM Adaptive Testing of SNP-Brain Functional Connectivity Associations Using Modular Network Structures Wei Pan, University of Minnesota
12:15 PM Floor Discussion
 
 
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