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RNA contact prediction by data efficient deep learning.
Taubert, Oskar; von der Lehr, Fabrice; Bazarova, Alina; Faber, Christian; Knechtges, Philipp; Weiel, Marie; Debus, Charlotte; Coquelin, Daniel; Basermann, Achim; Streit, Achim; Kesselheim, Stefan; Götz, Markus; Schug, Alexander.
Afiliação
  • Taubert O; Steinbuch Centre for Computing (SCC), Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany.
  • von der Lehr F; Institute for Software Technology (SC), German Aerospace Centre (DLR), 51147, Köln, Germany.
  • Bazarova A; Jülich Supercomputing Centre, Forschungszentrum Jülich, 52428, Jülich, Germany.
  • Faber C; Helmholtz AI, 81675, Munich, Germany.
  • Knechtges P; Jülich Supercomputing Centre, Forschungszentrum Jülich, 52428, Jülich, Germany.
  • Weiel M; Institute for Software Technology (SC), German Aerospace Centre (DLR), 51147, Köln, Germany.
  • Debus C; Helmholtz AI, 81675, Munich, Germany.
  • Coquelin D; Steinbuch Centre for Computing (SCC), Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany.
  • Basermann A; Helmholtz AI, 81675, Munich, Germany.
  • Streit A; Steinbuch Centre for Computing (SCC), Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany.
  • Kesselheim S; Helmholtz AI, 81675, Munich, Germany.
  • Götz M; Steinbuch Centre for Computing (SCC), Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany.
  • Schug A; Helmholtz AI, 81675, Munich, Germany.
Commun Biol ; 6(1): 913, 2023 09 06.
Article em En | MEDLINE | ID: mdl-37674020

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Thoracica / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Commun Biol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Thoracica / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Commun Biol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha