The findings suggest that genetic influences on brain morphology are expressed across multiple spatial scales, with consequences that may help to guide the design of deep learning methods to discover genomic loci associated with brain structure and brain diseases.
Emma J Gleave, L. García-Marín, Z. Ceja et al.· bioRxiv· 0 citations
Brain-wide maps of polygenic scores (PGS) from loci associated with ten brain volume regions of interest reveal patterns consistent with both localized and distributed genetic influences, offering a novel approach to interpret the genomic architecture of brain structure.
Emma J Gleave, L. García-Marín, Z. Ceja et al.· bioRxiv· 0 citations
TIER-MoE is introduced, a risk-guided subspace mixture-of-experts model that defines sample-specific modality reliability as the prediction loss its unimodal predictor is expected to incur, and demonstrates its superiority over state-of-the-art methods in predictive performance and probability calibration.