<p>Computational prediction of COVID-19 risky genes associated with lung cancer</p>

Judy Bai; Yongsheng Bai

doi:10.7490/f1000research.1119285.1

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Bai J and Bai Y. Computational prediction of COVID-19 risky genes associated with lung cancer [version 1; not peer reviewed]. F1000Research 2022, 11:1470 (poster) (https://doi.org/10.7490/f1000research.1119285.1)

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Computational prediction of COVID-19 risky genes associated with lung cancer

Judy Bai¹, Yongsheng Bai²

Published 11 Dec 2022 (https://doi.org/10.7490/f1000research.1119285.1)

Author Affiliations

¹ Greenhills School, Ann Arbor, Michigan, USA
² Eastern Michigan University, USA

Copyright © 2022 Bai J and Bai Y. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 11 Dec 2022

Computational prediction of COVID-19 risky genes associated with lung cancer
[version 1; not peer reviewed]

Judy Bai¹, Yongsheng Bai²

Author Affiliations

¹ Greenhills School, Ann Arbor, Michigan, USA
² Eastern Michigan University, USA

Presented at

Intelligent Systems for Molecular Biology (ISMB) 2022

Pacific Symposium on Biocomputing (PSB), 2023

Competing Interests

No competing interests were disclosed

Keywords

COVID, Lung Cancer, Immune System, Gene Expression, Drug Target

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