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J-GLOBAL ID：201802231010617020   Reference number：18A1153692

Detecting the tipping points in a three-state model of complex diseases by temporal differential networks

時間微分ネットワークによる複雑な疾患の3状態モデルにおけるチッピング点の検出【JST・京大機械翻訳】

Author (8)： Chen Pei (School of Computer Science and Engineering, South China University of Technology, Guangzhou, China) ,  Chen Pei (School of Mathematics, South China University of Technology, Guangzhou, China) ,  Li Yongjun (School of Computer Science and Engineering, South China University of Technology, Guangzhou, China) ,  Liu Xiaoping (School of Mathematics and Statistics, Shandong University at Weihai, Weihai, China) ,  Liu Xiaoping (Collaborative Research Center for Innovative Mathematical Modelling, University of Tokyo, Tokyo, Japan) ,  Liu Rui (School of Mathematics, South China University of Technology, Guangzhou, China) ,  Chen Luonan (Collaborative Research Center for Innovative Mathematical Modelling, University of Tokyo, Tokyo, Japan) ,  Chen Luonan (Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China)
Material： Journal of Translational Medicine (Web)
Volume： 15  Issue： 1  Page： 217  Publication year： 2017 
JST Material Number： U7330A  ISSN： 1479-5876  Document type： Article
Article type： 原著論文  Country of issue： United Kingdom (GBR)  Language： ENGLISH (EN)

Abstract/Point： Background The progression of ...

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Thesaurus term： incommensurability ,  Diabetes Mellitus ,  forecast ,  *differential ,  *network ,  stationary process ,  biomarker ,  wiring ,  overturn ,  Markov process ,  calculation ,  dynamic network ,  significance
Semi thesaurus term： スコア ,  病態 , 【Automatic Indexing@JST】

Author keywords (6)： Critical transition ,  Pre-disease state ,  Differential network ,  Dynamical network biomarker ,  Hidden Markov model ,  Tipping point

JST classification (2)： Medical information processing  (JE15030Q) ,  Molecular and genetic information processing  (JE15040B)

Reference (35)：

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Terms in the title (3)： 微分 ,  疾患 ,  チッピング