Art

J-GLOBAL ID：201902219135101390   Reference number：19A1818319

Identifying Critical State of Complex Diseases by Single-Sample-Based Hidden Markov Model

単一サンプルに基づく隠れMarkovモデルによる複雑な疾患の臨界状態の同定【JST・京大機械翻訳】

Author (5)： Liu Rui (School of Mathematics, South China University of Technology, Guangzhou, China) ,  Zhong Jiayuan (School of Mathematics, South China University of Technology, Guangzhou, China) ,  Yu Xiangtian (Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China) ,  Li Yongjun (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)
Material： Frontiers in Genetics (Web)
Volume： 10  Page： 285  Publication year： 2019 
JST Material Number： U7071A  ISSN： 1664-8021  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： The progression of complex dis...

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Thesaurus term： *criticality ,  gene expression ,  human(primates) ,  *hidden Markov model ,  effectiveness ,  influenza ,  phenotype ,  Markov process ,  overturn
Semi thesaurus term： 数値シミュレーション ,  胃腺癌 ,  臨界遷移 ,  エンドポイント , 【Automatic Indexing@JST】

Author keywords (6)： hidden Markov process ,  single-sample-based diagnosis ,  dynamical network biomarker (DNB) ,  pre-disease state ,  critical transition ,  early-warning signal

JST classification (3)： Genetic variation  (EC01030Y) ,  Gene expression  (EC02040Q) ,  Research methods in genetics  (EC01020N)

Reference (31)：

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• Chen L., Liu R., Liu Z., Li M., Aihara K. (2012). Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers. Sci. Rep. 2, 342-349. doi: 10.1038/srep00342
• Chen L., Wang R. S., Zhang X. S. (2009). Biomolecular Networks: Methods and Applications in Systems Biology. Vol. 10. Hoboken, NJ: John Wiley and Sons. doi: 10.1038/srep00342
• Chen P., Chen E., Chen L., Zhou X. J., Liu R. (2018). Detecting early-warning signals of influenza outbreak based on dynamic network marker. J. Cell. Mol. Med. 23, 395-404. doi: 10.1111/jcmm.13943
• Chen P., Li Y., Liu X., Liu R., Chen L. (2017). Detecting the tipping points in a three-state model of complex diseases by temporal differential networks. J. Transl. Med. 15, 217-231. doi: 10.1186/s12967-017-1320-7

Terms in the title (5)： サンプル ,  隠れMarkovモデル ,  疾患 ,  臨界状態 ,  同定