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Revisiting the tumorigenesis timeline with a data-driven generative model.
Lahouel, Kamel; Younes, Laurent; Danilova, Ludmila; Giardiello, Francis M; Hruban, Ralph H; Groopman, John; Kinzler, Kenneth W; Vogelstein, Bert; Geman, Donald; Tomasetti, Cristian.
Afiliação
  • Lahouel K; Division of Biostatistics and Bioinformatics, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205.
  • Younes L; Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD 21218.
  • Danilova L; Division of Biostatistics and Bioinformatics, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205.
  • Giardiello FM; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287.
  • Hruban RH; The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University, Baltimore, MD 21231.
  • Groopman J; Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21231.
  • Kinzler KW; The Ludwig Center, Johns Hopkins Kimmel Cancer Center, Baltimore, MD 21287.
  • Vogelstein B; Howard Hughes Medical Institute, Johns Hopkins Kimmel Cancer Center, Baltimore, MD 21287.
  • Geman D; The Ludwig Center, Johns Hopkins Kimmel Cancer Center, Baltimore, MD 21287.
  • Tomasetti C; Howard Hughes Medical Institute, Johns Hopkins Kimmel Cancer Center, Baltimore, MD 21287.
Proc Natl Acad Sci U S A ; 117(2): 857-864, 2020 01 14.
Article em En | MEDLINE | ID: mdl-31882448

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinogênese / Modelos Genéticos / Neoplasias Limite: Aged / Humans / Middle aged Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2020 Tipo de documento: Article País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinogênese / Modelos Genéticos / Neoplasias Limite: Aged / Humans / Middle aged Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2020 Tipo de documento: Article País de publicação: Estados Unidos