Identifying the critical states and dynamic network biomarkers of cancers based on network entropy.

Liu, Juntan; Ding, Dandan; Zhong, Jiayuan; Liu, Rui

Liu, Juntan; Ding, Dandan; Zhong, Jiayuan; Liu, Rui.

Afiliação

Liu J; School of Mathematics, South China University of Technology, Guangzhou, 510640, China.
Ding D; Department of Thoracic Surgery, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, 510095, China.
Zhong J; School of Mathematics, South China University of Technology, Guangzhou, 510640, China. 201720127132@mail.scut.edu.cn.
Liu R; School of Mathematics and Big Data, Foshan University, Foshan, 528000, China. 201720127132@mail.scut.edu.cn.

J Transl Med ; 20(1): 254, 2022 06 06.

Article em En | MEDLINE | ID: mdl-35668489

Assuntos

Neoplasias; Biomarcadores/metabolismo; Progressão da Doença; Entropia; Humanos; Neoplasias/diagnóstico

Palavras-chave

Critical state; Critical transition; Dynamic network biomarker (DNB); Local network entropy (LNE); Pre-disease state; Prognostic biomarker

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Idioma: En Ano de publicação: 2022 Tipo de documento: Article