Deep learning-based polygenic risk analysis for Alzheimer's disease prediction.

Xiaopu ZhouYu ChenFanny C F IpYuanbing JiangHan CaoGe LvHuan ZhongJiahang ChenTao YeYuewen ChenYulin ZhangShuangshuang MaRonnie M N LoEstella P S Tongnull nullVincent Chung Tong Mok Timothy Chi-Yui KwokQihao GuoKin Y MokMaryam ShoaiJohn HardyLei ChenAmy K Y FuNancy Y Ip

Published in: Communications medicine (2023)

Our results suggest that deep learning methods are effective for modeling the genetic risks of AD and other diseases, classifying disease risks, and uncovering disease mechanisms.

Keyphrases

deep learning
artificial intelligence
machine learning
genome wide
risk assessment
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