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Updated: Mar 15, 2026

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GMC-DMA:GNN-Mamba 对疾病-代谢物协会预测的对比优化

Jian Zhang1, Pengli Lu2, Fentang Gao3

  • 1School of Computer Science and Artificial Intelligence, Lanzhou University of Technology, Lanzhou, 730050, China.

Interdisciplinary sciences, computational life sciences
|March 13, 2026
PubMed
概括

预测代谢物与疾病的关联对于了解疾病至关重要. 我们的新框架GMC-DMA使用先进的AI准确识别与疾病相关的代谢物,改善生物医学研究和药物发现.

关键词:
相反的学习学习.疾病与代谢物相关联.图表 马巴巴 的图表图表 卷积网络 卷积网络科尔摩戈罗夫-阿诺德网络

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Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
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