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A deep learning approach reveals unexplored landscape of viral expression in cancer.
Elbasir, Abdurrahman; Ye, Ying; Schäffer, Daniel E; Hao, Xue; Wickramasinghe, Jayamanna; Tsingas, Konstantinos; Lieberman, Paul M; Long, Qi; Morris, Quaid; Zhang, Rugang; Schäffer, Alejandro A; Auslander, Noam.
Afiliación
  • Elbasir A; The Wistar Institute, Philadelphia, PA, 19104, USA.
  • Ye Y; The Wistar Institute, Philadelphia, PA, 19104, USA.
  • Schäffer DE; The Wistar Institute, Philadelphia, PA, 19104, USA.
  • Hao X; Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
  • Wickramasinghe J; The Wistar Institute, Philadelphia, PA, 19104, USA.
  • Tsingas K; The Wistar Institute, Philadelphia, PA, 19104, USA.
  • Lieberman PM; The Wistar Institute, Philadelphia, PA, 19104, USA.
  • Long Q; University of Pennsylvania, Philadelphia, PA, USA.
  • Morris Q; The Wistar Institute, Philadelphia, PA, 19104, USA.
  • Zhang R; University of Pennsylvania, Philadelphia, PA, USA.
  • Schäffer AA; Computational and Systems Biology, Sloan Kettering Institute, New York City, NY, 10065, USA.
  • Auslander N; The Wistar Institute, Philadelphia, PA, 19104, USA.
Nat Commun ; 14(1): 785, 2023 02 11.
Article en En | MEDLINE | ID: mdl-36774364
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Virus / Aprendizaje Profundo / Neoplasias Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Virus / Aprendizaje Profundo / Neoplasias Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article