End-to-end deep learning methods for genetic risk prediction of schizophrenia
It is shown that explainable neural networks improve genetic prediction of schizophrenia by capturing genetic interactions, and nonlinear neural networks significantly outperform conventional additive models when sufficient sample size is available.
N. Verplaetse, Y. Moreau, D. Raimondi
· Nature Communications · 0 citations