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M3C: Monte Carlo reference-based consensus clustering.
John, Christopher R; Watson, David; Russ, Dominic; Goldmann, Katriona; Ehrenstein, Michael; Pitzalis, Costantino; Lewis, Myles; Barnes, Michael.
Afiliación
  • John CR; Experimental Medicine and Rheumatology, William Harvey Research Institute, Bart's and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, United Kingdom. christopher.john@qmul.ac.uk.
  • Watson D; Oxford Internet Institute, University of Oxford, 1 St. Giles, OX1 3JS, Oxford, United Kingdom.
  • Russ D; Experimental Medicine and Rheumatology, William Harvey Research Institute, Bart's and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, United Kingdom.
  • Goldmann K; Experimental Medicine and Rheumatology, William Harvey Research Institute, Bart's and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, United Kingdom.
  • Ehrenstein M; Rayne Institute, University College London, 5 University Street, London, WC1E 6JF, United Kingdom.
  • Pitzalis C; Experimental Medicine and Rheumatology, William Harvey Research Institute, Bart's and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, United Kingdom.
  • Lewis M; Experimental Medicine and Rheumatology, William Harvey Research Institute, Bart's and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, United Kingdom.
  • Barnes M; Experimental Medicine and Rheumatology, William Harvey Research Institute, Bart's and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, United Kingdom. m.r.barnes@qmul.ac.uk.
Sci Rep ; 10(1): 1816, 2020 02 04.
Article en En | MEDLINE | ID: mdl-32020004

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido