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Evaluating semantic similarity methods for comparison of text-derived phenotype profiles.
Slater, Luke T; Russell, Sophie; Makepeace, Silver; Carberry, Alexander; Karwath, Andreas; Williams, John A; Fanning, Hilary; Ball, Simon; Hoehndorf, Robert; Gkoutos, Georgios V.
Afiliação
  • Slater LT; College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK. l.slater.1@bham.ac.uk.
  • Russell S; Institute of Translational Medicine, University Hospitals Birmingham, NHS Foundation Trust, Birmingham, UK. l.slater.1@bham.ac.uk.
  • Makepeace S; MRC Health Data Research UK (HDR UK) Midlands, Birmingham, UK. l.slater.1@bham.ac.uk.
  • Carberry A; University Hospitals Birmingham NHS Foundation Trust, Edgbaston, Birmingham, UK. l.slater.1@bham.ac.uk.
  • Karwath A; College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
  • Williams JA; Institute of Translational Medicine, University Hospitals Birmingham, NHS Foundation Trust, Birmingham, UK.
  • Fanning H; College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
  • Ball S; Institute of Translational Medicine, University Hospitals Birmingham, NHS Foundation Trust, Birmingham, UK.
  • Hoehndorf R; College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
  • Gkoutos GV; Institute of Translational Medicine, University Hospitals Birmingham, NHS Foundation Trust, Birmingham, UK.
BMC Med Inform Decis Mak ; 22(1): 33, 2022 02 05.
Article em En | MEDLINE | ID: mdl-35123470
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Semântica / Doenças Raras Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Semântica / Doenças Raras Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article