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A knowledge graph to interpret clinical proteomics data.
Santos, Alberto; Colaço, Ana R; Nielsen, Annelaura B; Niu, Lili; Strauss, Maximilian; Geyer, Philipp E; Coscia, Fabian; Albrechtsen, Nicolai J Wewer; Mundt, Filip; Jensen, Lars Juhl; Mann, Matthias.
Afiliación
  • Santos A; NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark. alberto.santos@sund.ku.dk.
  • Colaço AR; Li-Ka Shing Big Data Institute, University of Oxford, Oxford, UK. alberto.santos@sund.ku.dk.
  • Nielsen AB; Center for Health Data Science, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark. alberto.santos@sund.ku.dk.
  • Niu L; NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Strauss M; NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Geyer PE; NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Coscia F; NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Albrechtsen NJW; OmicEra Diagnostics GmbH, Planegg, Germany.
  • Mundt F; NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Jensen LJ; OmicEra Diagnostics GmbH, Planegg, Germany.
  • Mann M; Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Nat Biotechnol ; 40(5): 692-702, 2022 05.
Article en En | MEDLINE | ID: mdl-35102292
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteómica / Bases del Conocimiento / Medicina de Precisión Tipo de estudio: Prognostic_studies Idioma: En Revista: Nat Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Dinamarca Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteómica / Bases del Conocimiento / Medicina de Precisión Tipo de estudio: Prognostic_studies Idioma: En Revista: Nat Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Dinamarca Pais de publicación: Estados Unidos