Your browser doesn't support javascript.
loading
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.
Affiliation
  • 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 in En | MEDLINE | ID: mdl-36774364
Subject(s)
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Viruses / Deep Learning / Neoplasms Limits: Humans Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2023 Type: Article Affiliation country: United States
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Viruses / Deep Learning / Neoplasms Limits: Humans Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2023 Type: Article Affiliation country: United States