A personalized committee classification approach to improving prediction of breast cancer metastasis.

Jahid, Md Jamiul; Huang, Tim H; Ruan, Jianhua

Jahid, Md Jamiul; Huang, Tim H; Ruan, Jianhua.

Afiliação

Jahid MJ; Department of Computer Science, University of Texas at San Antonio, San Antonio, TX 78249, USA, Department of Molecular Medicine and Cancer Therapy & Research Center, University of Texas Health Science Center, San Antonio, TX 78229, USA.
Huang TH; Department of Computer Science, University of Texas at San Antonio, San Antonio, TX 78249, USA, Department of Molecular Medicine and Cancer Therapy & Research Center, University of Texas Health Science Center, San Antonio, TX 78229, USADepartment of Computer Science, University of Texas at San Antonio, San Antonio, TX 78249, USA, Department of Molecular Medicine and Cancer Therapy & Research Center, University of Texas Health Science Center, San Antonio, TX 78229, USA.
Ruan J; Department of Computer Science, University of Texas at San Antonio, San Antonio, TX 78249, USA, Department of Molecular Medicine and Cancer Therapy & Research Center, University of Texas Health Science Center, San Antonio, TX 78229, USADepartment of Computer Science, University of Texas at San Antonio, San Antonio, TX 78249, USA, Department of Molecular Medicine and Cancer Therapy & Research Center, University of Texas Health Science Center, San Antonio, TX 78229, USA.

Bioinformatics ; 30(13): 1858-66, 2014 Jul 01.

Article em En | MEDLINE | ID: mdl-24618465

Assuntos

Neoplasias da Mama/patologia; Algoritmos; Análise por Conglomerados; Conjuntos de Dados como Assunto; Humanos; Metástase Neoplásica

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article

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