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A Quantitative Systems Pharmacology Approach to Infer Pathways Involved in Complex Disease Phenotypes.
Schurdak, Mark E; Pei, Fen; Lezon, Timothy R; Carlisle, Diane; Friedlander, Robert; Taylor, D Lansing; Stern, Andrew M.
Afiliação
  • Schurdak ME; Department of Computational and Systems Biology, University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA. Mes234@pitt.edu.
  • Pei F; Department of Computational and Systems Biology, University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA.
  • Lezon TR; Department of Computational and Systems Biology, University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA.
  • Carlisle D; Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA.
  • Friedlander R; Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA.
  • Taylor DL; Department of Computational and Systems Biology, University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA.
  • Stern AM; Department of Computational and Systems Biology, University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA.
Methods Mol Biol ; 1787: 207-222, 2018.
Article em En | MEDLINE | ID: mdl-29736721
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenótipo / Tecnologia Farmacêutica / Biologia de Sistemas / Estudos de Associação Genética Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Methods Mol Biol Ano de publicação: 2018 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenótipo / Tecnologia Farmacêutica / Biologia de Sistemas / Estudos de Associação Genética Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Methods Mol Biol Ano de publicação: 2018 Tipo de documento: Article