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Classification of tumor types using XGBoost machine learning model: a vector space transformation of genomic alterations.
Zelli, Veronica; Manno, Andrea; Compagnoni, Chiara; Ibraheem, Rasheed Oyewole; Zazzeroni, Francesca; Alesse, Edoardo; Rossi, Fabrizio; Arbib, Claudio; Tessitore, Alessandra.
Afiliação
  • Zelli V; Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, 67100, L'Aquila, Italy.
  • Manno A; Center for Molecular Diagnostics and Advanced Therapies, University of L'Aquila, Via Petrini, 67100, L'Aquila, Italy.
  • Compagnoni C; Department of Information Engineering, Computer Science and Mathematics, Center of Excellence DEWS, University of L'Aquila, 67100, L'Aquila, Italy.
  • Ibraheem RO; Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, 67100, L'Aquila, Italy.
  • Zazzeroni F; Department of Information Engineering, Computer Science and Mathematics, Center of Excellence DEWS, University of L'Aquila, 67100, L'Aquila, Italy.
  • Alesse E; Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, 67100, L'Aquila, Italy.
  • Rossi F; Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, 67100, L'Aquila, Italy.
  • Arbib C; Department of Information Engineering, Computer Science and Mathematics, Center of Excellence DEWS, University of L'Aquila, 67100, L'Aquila, Italy.
  • Tessitore A; Department of Information Engineering, Computer Science and Mathematics, Center of Excellence DEWS, University of L'Aquila, 67100, L'Aquila, Italy.
J Transl Med ; 21(1): 836, 2023 11 21.
Article em En | MEDLINE | ID: mdl-37990214

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carcinoma / Variações do Número de Cópias de DNA Limite: Humans Idioma: En Revista: J Transl Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carcinoma / Variações do Número de Cópias de DNA Limite: Humans Idioma: En Revista: J Transl Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália