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Updated: May 29, 2025

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透露危急状态并通过先进的分析方法在个体基础上识别2型糖尿病的个性化动态网络生物标志物

Peiyu Li1,2, Shaowen Jing3, Guo Tian3

  • 1Network and Informatization Office, Henan University of Science and Technology, Luoyang, China. lpy@haust.edu.cn.

Scientific reports
|January 31, 2025
PubMed
概括

识别疾病前的关键状态是具有挑战性的. 本研究介绍了三种数据驱动的方法:单样本詹森-香农分歧 (sJSD),网络信息获取 (NIG) 和时间网络流 (TNFE),以从单个样本中检测这些状态和动态网络生物标志物.

关键词:
临界状态 临界状态动态网络生物标志物生物标志物网络信息获取 (NIG) 网络信息获取单个样本的詹森-香农分歧 (sJSD)时间网络流动 (TNFE)

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