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

About 15% of human cancer cases are attributed to viral infections. To date, virus expression in tumor tissues has been mostly studied by aligning tumor RNA sequencing reads to databases of known viruses. To allow identification of divergent viruses and rapid characterization of the tumor virome, we...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922274/
https://www.ncbi.nlm.nih.gov/pubmed/36774364
http://dx.doi.org/10.1038/s41467-023-36336-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922274/
https://www.ncbi.nlm.nih.gov/pubmed/36774364
http://dx.doi.org/10.1038/s41467-023-36336-z

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