Multimodal network diffusion predicts future disease-gene-chemical associations.

Lin, Chih-Hsu; Konecki, Daniel M; Liu, Meng; Wilson, Stephen J; Nassar, Huda; Wilkins, Angela D; Gleich, David F; Lichtarge, Olivier

Lin, Chih-Hsu; Konecki, Daniel M; Liu, Meng; Wilson, Stephen J; Nassar, Huda; Wilkins, Angela D; Gleich, David F; Lichtarge, Olivier.

Afiliação

Lin CH; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA.
Konecki DM; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA.
Liu M; Department of Computer Science, Purdue University, West Lafayette, IN, USA.
Wilson SJ; Department of Biochemistry and Molecular Biology, Houston, TX, USA.
Nassar H; Department of Computer Science, Purdue University, West Lafayette, IN, USA.
Wilkins AD; Departments of Molecular and Human Genetics, and Pharmacology, Houston, TX, USA.
Gleich DF; Computational and Integrative Biomedical Research Center, Baylor College of Medicine, Houston, TX, USA.
Lichtarge O; Department of Computer Science, Purdue University, West Lafayette, IN, USA.

Bioinformatics ; 35(9): 1536-1543, 2019 05 01.

Article em En | MEDLINE | ID: mdl-30304494

Assuntos

Algoritmos; Biologia Computacional; Difusão; Humanos; Medicina de Precisão

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Biologia Computacional Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

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