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Machine learning-aided protein identification from multidimensional signatures.
Zhang, Yuewen; Wright, Maya A; Saar, Kadi L; Challa, Pavankumar; Morgunov, Alexey S; Peter, Quentin A E; Devenish, Sean; Dobson, Christopher M; Knowles, Tuomas P J.
Afiliação
  • Zhang Y; Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK. tpjk2@cam.ac.uk.
  • Wright MA; Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK. tpjk2@cam.ac.uk.
  • Saar KL; Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK. tpjk2@cam.ac.uk and Cavendish Laboratory, Department of Physics, University of Cambridge, J J Thomson Ave, Cambridge CB3 0HE, UK.
  • Challa P; Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK. tpjk2@cam.ac.uk.
  • Morgunov AS; Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK. tpjk2@cam.ac.uk and Fluidic Analytics Ltd., Cambridge, UK.
  • Peter QAE; Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK. tpjk2@cam.ac.uk.
  • Devenish S; Fluidic Analytics Ltd., Cambridge, UK.
  • Dobson CM; Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK. tpjk2@cam.ac.uk.
  • Knowles TPJ; Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK. tpjk2@cam.ac.uk and Cavendish Laboratory, Department of Physics, University of Cambridge, J J Thomson Ave, Cambridge CB3 0HE, UK.
Lab Chip ; 21(15): 2922-2931, 2021 08 07.
Article em En | MEDLINE | ID: mdl-34109955
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article