Medicine and Health
Application of deep learning algorithm on whole genome sequencing data uncovers structural variants associated with multiple mental disorders in African American patients
Y. Liu, H. Qu, et al.
This groundbreaking research conducted by Yichuan Liu and colleagues explores the link between genomic structural variants and common mental disorders in African American patients using cutting-edge deep learning techniques. With a remarkable accuracy of ~65%, the study uncovers genetic insights that could revolutionize our understanding of mental health.
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