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PyClone: statistical inference of clonal population structure in cancer.
Roth, Andrew; Khattra, Jaswinder; Yap, Damian; Wan, Adrian; Laks, Emma; Biele, Justina; Ha, Gavin; Aparicio, Samuel; Bouchard-Côté, Alexandre; Shah, Sohrab P.
Afiliación
  • Roth A; 1] Bioinformatics Graduate Program, University of British Columbia, Vancouver, British Columbia, Canada. [2] Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.
  • Khattra J; Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.
  • Yap D; Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.
  • Wan A; Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.
  • Laks E; Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.
  • Biele J; Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.
  • Ha G; 1] Bioinformatics Graduate Program, University of British Columbia, Vancouver, British Columbia, Canada. [2] Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.
  • Aparicio S; 1] Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada. [2] Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
  • Bouchard-Côté A; Department of Statistics, University of British Columbia, Vancouver, British Columbia, Canada.
  • Shah SP; 1] Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada. [2] Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Nat Methods ; 11(4): 396-8, 2014 Apr.
Article en En | MEDLINE | ID: mdl-24633410
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis por Conglomerados / Modelos Estadísticos / Teorema de Bayes / Modelos Biológicos / Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: Nat Methods Asunto de la revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Año: 2014 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis por Conglomerados / Modelos Estadísticos / Teorema de Bayes / Modelos Biológicos / Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: Nat Methods Asunto de la revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Año: 2014 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos