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通过整合WGCNA和机器学习来识别急性冠状动脉综合征的新型生物标志物

Jie Zheng1, Fan Gong2, Liping Zhu3

  • 1Department of Cardiology, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China.

IET systems biology
|October 24, 2025
PubMed
概括

这项研究确定了关键的免疫细胞变化和分子生物标志物ARG1,HECW2和PFKFB3,与急性冠状动脉综合征 (ACS) 进展有关. 这些发现为ACS提供了潜在的新疗法和诊断工具.

关键词:
生物信息学是一种生物信息学.心血管系统的心血管系统数据挖掘是数据挖掘的一个方法.基因组学就是基因组学.

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