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Article

TriFusion enables accurate prediction of miRNA-disease association by a tri-channel fusion neural network.

Communications biology - 30 Aug 2024

Long Sheng, Tang Xiaoran, Si Xinyi, Kong Tongxin, Zhu Yanhao, Wang Chuanzhi, Qi Chenqing, Mu Zengchao, Liu Juntao

Abstract excerpt

The identification of miRNA-disease associations is crucial for early disease prevention and treatment. However, it is still a computational challenge to accurately predict such associations due to improper information encoding. Previous methods characterize miRNA-disease associations only from single levels, causing the loss of multi-level association information. In this study, we propose TriFusion, a powerful...

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Identifiers

PMID: 39215090
DOI: 10.1038/s42003-024-06734-0
PMCID: PMC11364641

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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