<p>Predicting candidate biomarkers for COVID-19 associated with leukemia in children</p>

Judy Bai; Qing Li

doi:10.7490/f1000research.1120079.1

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Bai J and Li Q. Predicting candidate biomarkers for COVID-19 associated with leukemia in children [version 1; not peer reviewed]. F1000Research 2025, 14:42 (poster) (https://doi.org/10.7490/f1000research.1120079.1)

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Predicting candidate biomarkers for COVID-19 associated with leukemia in children

Judy Bai¹, Qing Li

Published 07 Jan 2025 (https://doi.org/10.7490/f1000research.1120079.1)

Author Affiliations

¹ Greenhills School, Ann Arbor, Michigan, USA

Copyright © 2025 Bai J and Li Q. 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 07 Jan 2025

Predicting candidate biomarkers for COVID-19 associated with leukemia in children
[version 1; not peer reviewed]

Judy Bai¹, Qing Li

Author Affiliations

¹ Greenhills School, Ann Arbor, Michigan, USA

Presented at

Intelligent Systems for Molecular Biology (ISMB), 2023

Competing Interests

No competing interests were disclosed

Keywords

Leukemia, COVID-19, RNA-Seq, Differential Expression

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