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Sparse feature selection for classification and prediction of metastasis in endometrial cancer.
Ahsen, Mehmet Eren; Boren, Todd P; Singh, Nitin K; Misganaw, Burook; Mutch, David G; Moore, Kathleen N; Backes, Floor J; McCourt, Carolyn K; Lea, Jayanthi S; Miller, David S; White, Michael A; Vidyasagar, Mathukumalli.
Afiliação
  • Ahsen ME; IBM Research, Yorktown Heights, NY, USA.
  • Boren TP; The University of Tennessee, College of Medicine, KnoxvilleTN, USA.
  • Singh NK; Apple R&D, Austin, TX, USA.
  • Misganaw B; Harvard University, Cambridge, MA, USA.
  • Mutch DG; The Washington University School of Medicine, St. Louis, MO, USA.
  • Moore KN; The University of Oklohoma, Norman, OK, USA.
  • Backes FJ; The Ohio State University, Columbus, OH, USA.
  • McCourt CK; Women and Infants Hospital, Brown University, Providence, RI, USA.
  • Lea JS; University of Texas Southwestern Medical Center, TX, Dallas, USA.
  • Miller DS; University of Texas Southwestern Medical Center, TX, Dallas, USA.
  • White MA; University of Texas Southwestern Medical Center, TX, Dallas, USA. michael.white@utsouthwestern.edu.
  • Vidyasagar M; The University of Texas at Dallas, Richardson, TX, USA. m.vidyasagar@utdallas.edu.
BMC Genomics ; 18(Suppl 3): 233, 2017 03 27.
Article em En | MEDLINE | ID: mdl-28361685
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias do Endométrio / Genômica Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias do Endométrio / Genômica Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article