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Article

A deep learning framework for predicting disease-gene associations with functional modules and graph augmentation.

BMC bioinformatics - 14 Jun 2024

Jia Xianghu, Luo Weiwen, Li Jiaqi, Xing Jieqi, Sun Hongjie, Wu Shunyao, Su Xiaoquan

Abstract excerpt

BACKGROUND: The exploration of gene-disease associations is crucial for understanding the mechanisms underlying disease onset and progression, with significant implications for prevention and treatment strategies. Advances in high-throughput biotechnology have generated a wealth of data linking diseases to specific genes. While graph representation learning has recently introduced groundbreaking approaches for...

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PMID: 38877401
DOI: 10.1186/s12859-024-05841-3
PMCID: PMC11549817

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