A Machine Learning Approach to Identify Potential miRNA-Gene Regulatory Network Contributing to the Pathogenesis of SARS-CoV-2 Infection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics,Molecular Biology,General Medicine,Ecology, Evolution, Behavior and Systematics,Biochemistry
Link
https://link.springer.com/content/pdf/10.1007/s10528-023-10458-x.pdf
Reference87 articles.
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3. Avendaño-Ortiz J, Lozano-Rodríguez R, Martín-Quirós A, Maroun-Eid C, Terrón V, Valentín J, Montalbán-Hernández K, Ruiz de la Bastida F, García-Garrido MA, Cubillos-Zapata C et al (2020) Proteins from SARS-CoV-2 reduce T cell proliferation: a mirror image of sepsis. Heliyon 6(12):e05635. https://doi.org/10.1016/j.heliyon.2020.e05635
4. Aviv A (2020) Telomeres and COVID-19. FASEB J off Publ Fed Am Soc Exp Biol 34(6):7247–7252. https://doi.org/10.1096/fj.202001025
5. Bailey AL, Dmytrenko O, Greenberg L, Bredemeyer AL, Ma P, Liu J, Penna V, Winkler ES, Sviben S, Brooks E et al (2021) SARS-CoV-2 infects human engineered heart tissues and models COVID-19 myocarditis. JACC Basic Transl Sci 6(4):331–345. https://doi.org/10.1016/j.jacbts.2021.01.002
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