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Systems-level network modeling of Small Cell Lung Cancer subtypes identifies master regulators and destabilizers.
Wooten, David J; Groves, Sarah M; Tyson, Darren R; Liu, Qi; Lim, Jing S; Albert, Réka; Lopez, Carlos F; Sage, Julien; Quaranta, Vito.
Afiliação
  • Wooten DJ; Department of Physics, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
  • Groves SM; Department of Biochemistry, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
  • Tyson DR; Department of Biochemistry, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
  • Liu Q; Department of Biochemistry, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
  • Lim JS; Departments of Biomedical Informatics and Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
  • Albert R; Departments of Pediatrics and Genetics, Stanford University, Stanford, California, United States of America.
  • Lopez CF; Department of Physics, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
  • Sage J; Department of Biochemistry, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
  • Quaranta V; Departments of Pediatrics and Genetics, Stanford University, Stanford, California, United States of America.
PLoS Comput Biol ; 15(10): e1007343, 2019 10.
Article em En | MEDLINE | ID: mdl-31671086
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma de Pequenas Células do Pulmão Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma de Pequenas Células do Pulmão Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos