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Article

DGAMDA: Predicting miRNA-disease association based on dynamic graph attention network.

International journal for numerical methods in biomedical engineering - 1 May 2024

Jia ChangXin, Wang FuYu, Xing Baoxiang, Li ShaoNa, Zhao Yang, Li Yu, Wang Qing

Abstract excerpt

MiRNA (microRNA)-disease association prediction has essential applications for early disease screening. The process of traditional biological experimental validation is both time-consuming and expensive. However, as artificial intelligence technology continues to advance, computational methods have become efficient tools for predicting miRNA-disease associations. These methods often rely on the combination of...

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PMID: 38472636
DOI: 10.1002/cnm.3809

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