Presentation Information
[3P-887]A Machine Learning Model for Pathogenic Variant Prediction Integrating Variant- and Patient-Specific Contexts
○Haruko Nakagawa1,2,5, Takashi Kamatani2,3, Naoya Ishibashi2, Satoru Aoyama2, Fuyuki Miya4,2, Sadakatsu Ikeda2 (1. Department of Functional Genome Informatics, Medical Research Laboratory, Institute of Integrated Research, Institute of Science Tokyo, 2. Department of Precision Cancer Medicine, Institute of Science Tokyo Hospital, 3. Department of AI Technology Development, M&D Data Science Center, Institute of Integrated Research, Institute of Science Tokyo, 4. Center for Medical Genetics, Keio University School of Medicine, 5. Omics AI Research Team, Advanced General Intelligence in Science Program (AGIS), TRIP Headquarters, RIKEN)
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