DeepVISP: Deep Learning for Virus Site Integration Prediction and Motif Discovery-Reference-Cited by-同舟云学术

DeepVISP: Deep Learning for Virus Site Integration Prediction and Motif Discovery

Published:2021-03-08 Issue:9 Volume:8 Page:2004958
ISSN:2198-3844
Container-title:Advanced Science
language:en
Short-container-title:Adv. Sci.

Author:

Xu Haodong¹^ORCID,Jia Peilin¹,Zhao Zhongming¹²³

Affiliation:

1. Center for Precision Health School of Biomedical Informatics The University of Texas Health Science Center at Houston (UTHealth) Houston TX 77030 USA

2. MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Houston TX 77030 USA

3. Department of Biomedical Informatics Vanderbilt University Medical Center Nashville TN 37203 USA

Funder

National Institutes of Health

Cancer Prevention and Research Institute of Texas

Foundation for the National Institutes of Health

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,Biochemistry, Genetics and Molecular Biology (miscellaneous),General Materials Science,General Chemical Engineering,Medicine (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/advs.202004958

Reference52 articles.

1. Persistent activation of an innate immune response translates respiratory viral infection into chronic lung disease

2. HPV-associated head and neck cancer: a virus-related cancer epidemic

3. Analysis of Plasma Epstein–Barr Virus DNA to Screen for Nasopharyngeal Cancer

4. Delivering on the promise: HPV vaccines and cervical cancer

5. Viral carcinogenesis: revelation of molecular mechanisms and etiology of human disease

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