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Proteomics biomarker discovery for individualized prevention of familial pancreatic cancer using statistical learning.
Ha, Chung Shing Rex; Müller-Nurasyid, Martina; Petrera, Agnese; Hauck, Stefanie M; Marini, Federico; Bartsch, Detlef K; Slater, Emily P; Strauch, Konstantin.
Afiliação
  • Ha CSR; Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany.
  • Müller-Nurasyid M; Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
  • Petrera A; Faculty of Medicine, Institute for Medical Information Processing, Chair of Genetic Epidemiology, Biometry, and Epidemiology (IBE), LMU Munich, Munich, Germany.
  • Hauck SM; Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany.
  • Marini F; Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
  • Bartsch DK; Faculty of Medicine, Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), LMU Munich, Munich, Germanys.
  • Slater EP; Faculty of Medicine, Institute for Medical Information Processing, Pettenkofer School of Public Health Munich, Biometry, and Epidemiology (IBE), LMU Munich, Munich, Germany.
  • Strauch K; Research Unit Protein Science and Metabolomics and Proteomics Core Facility, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
PLoS One ; 18(1): e0280399, 2023.
Article em En | MEDLINE | ID: mdl-36701413
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Carcinoma Ductal Pancreático Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: PLoS One Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Carcinoma Ductal Pancreático Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: PLoS One Ano de publicação: 2023 Tipo de documento: Article