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Multimodal deep learning enhances genomic risk prediction for cardiometabolic diseases in UK Biobank
2025-04-28
health informatics
Title + abstract only
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Cardiometabolic diseases are multifactorial disorders influenced by numerous genetic variants and their complex interactions. Although recent studies have advanced the understanding of genetic risk prediction, current approaches predominantly rely on linear models that may not fully capture the complex, non-linear relationships between genetic factors. Here, we present DeepGP (Deep learning-based Genome-wide Predictor), a novel multimodal deep learning framework that incorporates bidirectional s...
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