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Predicting breast cancer using an expression values weighted clinical classifier.
Thomas, Minta; De Brabanter, Kris; Suykens, Johan A K; De Moor, Bart.
Afiliação
  • Thomas M; KU Leuven, Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics/iMinds Future Health Department, Kasteelpark Arenberg 10, Leuven, 3001, Belgium. minta.thomas@esat.kuleuven.be.
  • De Brabanter K; Department of Statistics & Computer Science, Iowa State University, Ames, IA, USA. kris.debrabanter@esat.kuleuven.be.
  • Suykens JA; KU Leuven, Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics/iMinds Future Health Department, Kasteelpark Arenberg 10, Leuven, 3001, Belgium. Johan.Suykens@esat.kuleuven.be.
  • De Moor B; KU Leuven, Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics/iMinds Future Health Department, Kasteelpark Arenberg 10, Leuven, 3001, Belgium. bart.demoor@esat.kuleuven.be.
BMC Bioinformatics ; 15: 411, 2014 Dec 31.
Article em En | MEDLINE | ID: mdl-25551433
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Máquina de Vetores de Suporte Idioma: En Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Bélgica
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Máquina de Vetores de Suporte Idioma: En Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Bélgica