Presentation Information
[S17-5]Machine learning reveals heterogeneous treatment effects of risk factors on diseases across polygenic risk scores
Tatsuhiko Naito1,2,3,4,5 (1.Department of Neuroscience, Icahn School of Medicine at Mount Sinai, 2.New York Genome Center, 3.Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, 4.Department of Statistical Genetics, Graduate School of Medicine, The University of Osaka, 5.Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences)
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