Identifying Disease-Gene Associations by Topological and Biological Feature-based Data Augmentation and Graph Neural Networks.

Abstract excerpt

Predicting gene-disease associations is essential for understanding disease pathogenesis and determining therapeutic targets. While prior methods have integrated diverse biological information to make predictions, they still encounter several challenges. First, incomplete and sparse gene-disease association data constrain model performance. Second, integrating heterogeneous data sources is not straightforward. To...

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