Article

PRSNet-2: End-to-end genotype-to-phenotype prediction via hierarchical graph neural networks

2025-11-25

Abstract excerpt

The emergence of large-scale biobanks has opened unprecedented opportunities for the development of data-driven approaches, especially deep learning-based methods, for genotype-to-phenotype (G2P) prediction. However, designing an end-to-end framework capable of directly leveraging extremely high-dimensional genotypic data while simultaneously mitigating overfitting and ensuring robust prediction remains a signific...

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Literature Corpus work: f3e99f17-a6ed-5f5d-988b-3330ecff2bad
DOI: 10.1101/2025.11.22.689899

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