Nature Communications (Feb 2023)

A deep learning approach reveals unexplored landscape of viral expression in cancer

  • Abdurrahman Elbasir,
  • Ying Ye,
  • Daniel E. Schäffer,
  • Xue Hao,
  • Jayamanna Wickramasinghe,
  • Konstantinos Tsingas,
  • Paul M. Lieberman,
  • Qi Long,
  • Quaid Morris,
  • Rugang Zhang,
  • Alejandro A. Schäffer,
  • Noam Auslander

DOI
https://doi.org/10.1038/s41467-023-36336-z
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 12

Abstract

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Here, Elbasir et al. develop viRNAtrap, a deep learning approach for detection of viruses from tumor RNA sequencing data, which they showcase on an RNA dataset of different cancer types, revealing tumor expression of divergent viruses that had not been previously implicated in cancer.