Neuroimaging Feature Extraction using a Neural Network Classifier for Imaging Genetics. (arXiv:2207.10794v1 [q-bio.QM])

A major issue in the association of genes to neuroimaging phenotypes is the
high dimension of both genetic data and neuroimaging data. In this article, we
tackle the latter problem with an eye toward developing solutions that are
relevant for disease prediction. Supported by a vast literature on the
predictive power of neural networks, our proposed solution uses neural networks
to extract from neuroimaging data features that are relevant for predicting
Alzheimer's Disease (AD) for subsequent relation to genetics. Our …

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