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A novel algorithm for network-based prediction of cancer recurrence.
Ruan, Jianhua; Jahid, Md Jamiul; Gu, Fei; Lei, Chengwei; Huang, Yi-Wen; Hsu, Ya-Ting; Mutch, David G; Chen, Chun-Liang; Kirma, Nameer B; Huang, Tim H-M.
Afiliación
  • Ruan J; Department of Computer Science, University of Texas, San Antonio, TX, USA; Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, TX, USA; Department of Electrical Engineering and Computer Science, McNeese State University, Lake Charles, LA, USA. Electronic address
  • Jahid MJ; Department of Computer Science, University of Texas, San Antonio, TX, USA.
  • Gu F; Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, TX, USA.
  • Lei C; Department of Electrical Engineering and Computer Science, McNeese State University, Lake Charles, LA, USA.
  • Huang YW; Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Hsu YT; Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, TX, USA.
  • Mutch DG; Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, USA.
  • Chen CL; Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, TX, USA.
  • Kirma NB; Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, TX, USA.
  • Huang TH; Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, TX, USA; Cancer Therapy & Research Center, University of Texas Health Science Center, San Antonio, TX, USA. Electronic address: huangt3@uthscsa.edu.
Genomics ; 111(1): 17-23, 2019 01.
Article en En | MEDLINE | ID: mdl-27453286
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Biomarcadores de Tumor / Neoplasias Endometriales / Metilación de ADN / Recurrencia Local de Neoplasia Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Genomics Asunto de la revista: GENETICA Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Biomarcadores de Tumor / Neoplasias Endometriales / Metilación de ADN / Recurrencia Local de Neoplasia Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Genomics Asunto de la revista: GENETICA Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos