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通过基于签名消息传播的多尺度变化图自编码器识别微生物疾病签名协会

Huan Zhu1, Hongxia Hao2, Liang Yu3

  • 1School of Computer Science and Technology, Xidian University, Xi'an, China.

BMC biology
|August 15, 2024
PubMed
概括

这项研究介绍了MSignVGAE,这是一种用于预测微生物疾病标志关联的新框架. 该方法准确地识别了微生物与疾病的联系,有助于精准医学和早期诊断.

关键词:
微生物疾病协会 微生物疾病协会签名的消息传播的传播变量图形自编码器 变量图形自编码器在XGBoost中使用.

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