A Cartographic Tool to Predict Disease Risk-associated Pseudo-Dynamic Networks from Tissue-specific Gene Expression.

Chen, Chixiang; Shen, Biyi; Zhang, Lijun; Yu, Tonghui; Wang, Ming; Wu, Rongling

Chen, Chixiang; Shen, Biyi; Zhang, Lijun; Yu, Tonghui; Wang, Ming; Wu, Rongling.

Afiliação

Chen C; Division of Biostatistics and Bioinformatics, University of Maryland School of Medicine, Baltimore, MD, USA.
Shen B; Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA.
Zhang L; Bristol Myers Squibb, Lawrenceville, NJ, USA.
Yu T; Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Wang M; School of Mathematics, Hefei University of Technology, Anhui, China.
Wu R; Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.

Bio Protoc ; 13(1)2023 Jan 05.

Article em En | MEDLINE | ID: mdl-36789091

Palavras-chave

Gene regulatory network; Genotype-Tissue expression; Ordinary differential equations; Quasi-dynamic; Risk prediction; Statistical algorithm

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bio Protoc Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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