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Integration of genomic data enables selective discovery of breast cancer drivers.
Sanchez-Garcia, Félix; Villagrasa, Patricia; Matsui, Junji; Kotliar, Dylan; Castro, Verónica; Akavia, Uri-David; Chen, Bo-Juen; Saucedo-Cuevas, Laura; Rodriguez Barrueco, Ruth; Llobet-Navas, David; Silva, Jose M; Pe'er, Dana.
Afiliação
  • Sanchez-Garcia F; Department of Biological Sciences and Department of Systems Biology, Columbia University, New York, NY 10027, USA; Department of Computer Science, Columbia University, New York, NY 10027, USA.
  • Villagrasa P; Icahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, New York, NY 10029, USA.
  • Matsui J; Icahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, New York, NY 10029, USA.
  • Kotliar D; Department of Biological Sciences and Department of Systems Biology, Columbia University, New York, NY 10027, USA.
  • Castro V; Icahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, New York, NY 10029, USA.
  • Akavia UD; Department of Biological Sciences and Department of Systems Biology, Columbia University, New York, NY 10027, USA.
  • Chen BJ; Department of Biological Sciences and Department of Systems Biology, Columbia University, New York, NY 10027, USA.
  • Saucedo-Cuevas L; Icahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, New York, NY 10029, USA.
  • Rodriguez Barrueco R; Icahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, New York, NY 10029, USA.
  • Llobet-Navas D; Icahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, New York, NY 10029, USA.
  • Silva JM; Icahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, New York, NY 10029, USA. Electronic address: jose.silva@mssm.edu.
  • Pe'er D; Department of Biological Sciences and Department of Systems Biology, Columbia University, New York, NY 10027, USA. Electronic address: dpeer@biology.columbia.edu.
Cell ; 159(6): 1461-75, 2014 Dec 04.
Article em En | MEDLINE | ID: mdl-25433701
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Neoplasias da Mama Tipo de estudo: Prognostic_studies Limite: Animals / Female / Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Neoplasias da Mama Tipo de estudo: Prognostic_studies Limite: Animals / Female / Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article