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The self-organization model reveals systematic characteristics of aging

Yin Wang1,2, Tao Huang3, Yixue Li4,5,6,7

  • 1Department of Biomedical Engineering, School of Fundamental Sciences, China Medical University, Shenyang, 110012, Liaoning Province, China.

Theoretical Biology & Medical Modelling
|March 22, 2020
PubMed
Abstract

Keywords:
AgingNetwork analysisSelf-organizationSupervised learning

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