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一个由特征和结构驱动的动态多尺度超图学习框架,用于ceRNA-疾病关联预测

Xin-Fei Wang, Lan Huang, Yan Wang

    IEEE journal of biomedical and health informatics
    |August 25, 2025
    PubMed
    概括

    本研究引入了一个动态多尺度超图学习框架 (DMHLF),通过捕获复杂的RNA相互作用来改善与疾病相关的生物标志物的预测. DMHLF提高了生物医学研究竞争性内源RNA网络的准确性.

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