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Data-driven analysis of immune infiltrate in a large cohort of breast cancer and its association with disease progression, ER activity, and genomic complexity.
Dannenfelser, Ruth; Nome, Marianne; Tahiri, Andliena; Ursini-Siegel, Josie; Vollan, Hans Kristian Moen; Haakensen, Vilde D; Helland, Åslaug; Naume, Bjørn; Caldas, Carlos; Børresen-Dale, Anne-Lise; Kristensen, Vessela N; Troyanskaya, Olga G.
Afiliação
  • Dannenfelser R; Department of Computer Science, Princeton University, Princeton, New Jersey, United States of America.
  • Nome M; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.
  • Tahiri A; Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
  • Ursini-Siegel J; Department of Clinical Molecular Oncology, Division of Medicine, Akershus University Hospital, Ahus, Norway.
  • Vollan HKM; Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
  • Haakensen VD; Department of Clinical Molecular Oncology, Division of Medicine, Akershus University Hospital, Ahus, Norway.
  • Helland Å; Lady Davis Institute for Medical Research, McGill University, Montreal, Quebec, Canada.
  • Naume B; Department of Clinical Molecular Oncology, Division of Medicine, Akershus University Hospital, Ahus, Norway.
  • Caldas C; Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom.
  • Børresen-Dale AL; Department of Genetics, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway.
  • Kristensen VN; Department of Genetics, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway.
  • Troyanskaya OG; Department of Oncology, Division for Surgery, Cancer, and Transplantation, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway.
Oncotarget ; 8(34): 57121-57133, 2017 Aug 22.
Article em En | MEDLINE | ID: mdl-28915659
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Oncotarget Ano de publicação: 2017 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 Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Oncotarget Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos