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Updated: Sep 16, 2025

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sPGGM:一种样本乱的高斯图形模型,用于识别疾病前阶段和疾病进展的信号分子

Jiayuan Zhong1, Junxian Li2, Xuerong Gu3

  • 1School of Mathematics, Foshan University, Foshan 528000, China.

National science review
|July 10, 2025
PubMed
概括

这项研究引入了一种新的计算框架,即样本乱高斯图形模型 (sPGGM),用于检测疾病前关键阶段并识别信号分子. 该方法使用复杂的,高维度的生物数据准确地确定疾病过渡.

关键词:
关键点 关键点 关键点 关键点动态网络生物标志物 (DNB)最佳的运输最优的运输方式.在疾病前的阶段.样本乱高斯图形模型 (sPGGM)

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