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MUS-HGFC: Inferring miRNA-disease associations with multi-scale hypergraph representations.

International journal of biological macromolecules - 1 Jun 2026

Chen Jing, Wang Bingtao, Wang Yongtian, Peng Jiajie, Xiao Bing, Zhang Kaiyue, Xiao Yifu, Wu Zhiyuan, Wang Tao

Abstract excerpt

MicroRNAs (miRNAs) are pivotal post-transcriptional regulators, and their dysregulation is a hallmark of numerous diseases, particularly cancer. Computational prediction of miRNA-disease associations (MDAs) is crucial for identifying biomarkers and therapeutic targets. While graph neural networks (GNNs) have shown promise in this domain, they are often limited by an oversimplified pairwise modeling of complex...

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PMID: 42114583
DOI: 10.1016/j.ijbiomac.2026.152446

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