Epigenetic state network approach for describing cell phenotypic transitions.

Wang, Ping; Song, Chaoming; Zhang, Hang; Wu, Zhanghan; Tian, Xiao-Jun; Xing, Jianhua

Wang, Ping; Song, Chaoming; Zhang, Hang; Wu, Zhanghan; Tian, Xiao-Jun; Xing, Jianhua.

Afiliação

Wang P; Department of Biological Sciences , Virginia Tech , Blacksburg, VA 24060 , USA.
Song C; Department of Physics , University of Miami , Coral Gables, FL 33124 , USA.
Zhang H; Department of Biological Sciences , Virginia Tech , Blacksburg, VA 24060 , USA.
Wu Z; National Heart, Lung and Blood Institutes , National Institutes of Health , Bethesda, MD 20892 , USA ; Department of Biological Sciences , Virginia Tech , Blacksburg, VA 24060 , USA.
Tian XJ; Department of Biological Sciences , Virginia Tech , Blacksburg, VA 24060 , USA.
Xing J; Department of Biological Sciences , Virginia Tech , Blacksburg, VA 24060 , USA ; Department of Physics , Virginia Tech , Blacksburg, VA 24060 , USA.

Interface Focus ; 4(3): 20130068, 2014 Jun 06.

Article em En | MEDLINE | ID: mdl-24904734

Palavras-chave

gene regulatory network; non-equilibrium steady state; nonlinear dynamics

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Interface Focus Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Estados Unidos

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