Gene regulatory network inference and validation using relative change ratio analysis and time-delayed dynamic Bayesian network.

Li, Peng; Gong, Ping; Li, Haoni; Perkins, Edward J; Wang, Nan; Zhang, Chaoyang

Li, Peng; Gong, Ping; Li, Haoni; Perkins, Edward J; Wang, Nan; Zhang, Chaoyang.

Afiliação

Li P; Laboratory of Molecular Immunology, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, 20892 MD USA.
Gong P; Badger Technical Services, LLC, San Antonio, 78216 TX USA.
Li H; School of Computing, University of Southern Mississippi, Hattiesburg, 39406 MS USA.
Perkins EJ; Environmental Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, 39180 MS USA.
Wang N; School of Computing, University of Southern Mississippi, Hattiesburg, 39406 MS USA.
Zhang C; School of Computing, University of Southern Mississippi, Hattiesburg, 39406 MS USA.

EURASIP J Bioinform Syst Biol ; 2014: 12, 2014 Dec.

Article em En | MEDLINE | ID: mdl-28194162

Palavras-chave

Dialogue for Reverse Engineering Assessments and Methods (DREAM); Gene regulatory network (GRN); Relative change ratio (RCR); Time-delayed dynamic Bayesian network (TDBN)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: EURASIP J Bioinform Syst Biol Ano de publicação: 2014 Tipo de documento: Article

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