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Updated: Jun 27, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
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RPI-GGCN:基于可解释性门式图形卷积神经网络和同调节变异自编码器的RNA-蛋白相互作用预测

Yifei Wang, Pengju Ding, Congjing Wang

    IEEE transactions on neural networks and learning systems
    |May 6, 2024
    PubMed
    概括

    一个新的RPI-gated图形卷积网络 (RPI-GGCN) 准确地预测了RNA-蛋白相互作用 (RPI). 这种方法增强了对细胞过程和疾病机制的理解,为RPI预测提供了稳定的方法.

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