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基于图形卷积和注意力网络的微生物药物协会预测模型.

Bo Wang1, Tongxuan Wang2, Xiaoxin Du2

  • 1Computer and Control Engineering College, Qiqihar University, Qiqihar, 161006, China. bowangdr@qqhru.edu.cn.

Scientific reports
|September 27, 2024
PubMed
概括

这项研究介绍了GCNATMDA,这是一种用于预测微生物与药物关联的新型计算模型. 这种方法通过提高预测效率和准确性来增强药物发现和精准医学.

关键词:
深度学习是一种深度学习.图表 卷积网络 卷积网络图形注意力网络的网络.微生物药物协会 微生物药物协会

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