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Application of high-dimensional feature selection: evaluation for genomic prediction in man.
Bermingham, M L; Pong-Wong, R; Spiliopoulou, A; Hayward, C; Rudan, I; Campbell, H; Wright, A F; Wilson, J F; Agakov, F; Navarro, P; Haley, C S.
Afiliación
  • Bermingham ML; MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh.
  • Pong-Wong R; The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh.
  • Spiliopoulou A; MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh.
  • Hayward C; MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh.
  • Rudan I; Centre for Population Health Sciences, University of Edinburgh.
  • Campbell H; Centre for Population Health Sciences, University of Edinburgh.
  • Wright AF; MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh.
  • Wilson JF; Centre for Population Health Sciences, University of Edinburgh.
  • Agakov F; Pharmatics Limited, UK.
  • Navarro P; MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh.
  • Haley CS; 1] MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh [2] The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh.
Sci Rep ; 5: 10312, 2015 May 19.
Article en En | MEDLINE | ID: mdl-25988841

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Estatura / Índice de Masa Corporal / Carácter Cuantitativo Heredable / Sitios de Carácter Cuantitativo / HDL-Colesterol Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2015 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Estatura / Índice de Masa Corporal / Carácter Cuantitativo Heredable / Sitios de Carácter Cuantitativo / HDL-Colesterol Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2015 Tipo del documento: Article