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Tangent normalization for somatic copy-number inference in cancer genome analysis.
Gao, Galen F; Oh, Coyin; Saksena, Gordon; Deng, Davy; Westlake, Lindsay C; Hill, Barbara A; Reich, Michael; Schumacher, Steven E; Berger, Ashton C; Carter, Scott L; Cherniack, Andrew D; Meyerson, Matthew; Tabak, Barbara; Beroukhim, Rameen; Getz, Gad.
Afiliación
  • Gao GF; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Oh C; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Saksena G; Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA, USA.
  • Deng D; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Westlake LC; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Hill BA; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Reich M; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Schumacher SE; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
  • Berger AC; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Carter SL; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Cherniack AD; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Meyerson M; Department of Medicine, Division of Medical Genetics, University of California, San Diego, La, Jolla, CA, USA.
  • Tabak B; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Beroukhim R; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Getz G; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Bioinformatics ; 38(20): 4677-4686, 2022 10 14.
Article en En | MEDLINE | ID: mdl-36040167

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Neoplasias Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Neoplasias Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos