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A Network Biology Approach Identifies Molecular Cross-Talk between Normal Prostate Epithelial and Prostate Carcinoma Cells.
Trevino, Victor; Cassese, Alberto; Nagy, Zsuzsanna; Zhuang, Xiaodong; Herbert, John; Antczak, Philipp; Clarke, Kim; Davies, Nicholas; Rahman, Ayesha; Campbell, Moray J; Guindani, Michele; Bicknell, Roy; Vannucci, Marina; Falciani, Francesco.
Afiliación
  • Trevino V; Catedra de Bioinformatica, Escuela de Medicina, Tecnologico de Monterrey, Monterrey, Nuevo Leon, Mexico.
  • Cassese A; Department of Methodology and Statistics, Maastricht University, Maastricht, Netherlands.
  • Nagy Z; School of Experimental and Clinical Medicine, University of Birmingham, Edgbaston, Birmingham, United Kingdom.
  • Zhuang X; School of Immunity and Infection, University of Birmingham, Edgbaston, Birmingham, United Kingdom.
  • Herbert J; Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
  • Antczak P; Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
  • Clarke K; Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
  • Davies N; School of Cancer Sciences, College of Medicine and Dentistry, University of Birmingham, Edgbaston, Birmingham, United Kingdom.
  • Rahman A; School of Pharmacy, Faculty of Science and Engineering, University of Wolverhampton, Wolverhampton, United Kingdom.
  • Campbell MJ; Department of Pharmacology and Therapeutics, Roswell Park Cancer Institute, Buffalo, New York, United States of America.
  • Guindani M; Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
  • Bicknell R; School of Immunity and Infection, University of Birmingham, Edgbaston, Birmingham, United Kingdom.
  • Vannucci M; Department of Statistics, Rice University, Houston, Texas, United States of America.
  • Falciani F; Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
PLoS Comput Biol ; 12(4): e1004884, 2016 04.
Article en En | MEDLINE | ID: mdl-27124473
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Próstata / Neoplasias de la Próstata / Redes Reguladoras de Genes Tipo de estudio: Prognostic_studies Límite: Humans / Male Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2016 Tipo del documento: Article País de afiliación: México Pais de publicación: Estados Unidos
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Próstata / Neoplasias de la Próstata / Redes Reguladoras de Genes Tipo de estudio: Prognostic_studies Límite: Humans / Male Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2016 Tipo del documento: Article País de afiliación: México Pais de publicación: Estados Unidos