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ScoMorphoFISH: A deep learning enabled toolbox for single-cell single-mRNA quantification and correlative (ultra-)morphometry.
Siegerist, Florian; Hay, Eleonora; Dikou, Juan Saydou; Pollheimer, Marion; Büscher, Anja; Oh, Jun; Ribback, Silvia; Zimmermann, Uwe; Bräsen, Jan Hinrich; Lenoir, Olivia; Drenic, Vedran; Eller, Kathrin; Tharaux, Pierre-Louis; Endlich, Nicole.
Afiliação
  • Siegerist F; Institute for Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany.
  • Hay E; Institute for Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany.
  • Dikou JS; Section of Human Anatomy, Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.
  • Pollheimer M; Institute for Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany.
  • Büscher A; Institute of Pathology, Medical University of Graz, Graz, Austria.
  • Oh J; Department of Pediatrics II, University Hospital Essen, Essen, Germany.
  • Ribback S; Department of Pediatrics, University Hamburg-Eppendorf, Hamburg, Germany.
  • Zimmermann U; Department of Pathology, University Medicine Greifswald, Greifswald, Germany.
  • Bräsen JH; Department of Urology, University Medicine Greifswald, Greifswald, Germany.
  • Lenoir O; Nephropathology, Institute of Pathology, Medical School Hannover, Hannover, Germany.
  • Drenic V; PARCC, Paris Cardiovascular Research Centre, Inserm, Université Paris Cité, Paris, France.
  • Eller K; NIPOKA GmbH, Greifswald, Germany.
  • Tharaux PL; Division of Nephrology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
  • Endlich N; PARCC, Paris Cardiovascular Research Centre, Inserm, Université Paris Cité, Paris, France.
J Cell Mol Med ; 26(12): 3513-3526, 2022 06.
Article em En | MEDLINE | ID: mdl-35593050
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Aprendizado Profundo / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Cell Mol Med Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
Adicionar na Minha BVS
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Aprendizado Profundo / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Cell Mol Med Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha