The risk of COVID-19 can be predicted by a nomogram based on m6A-related genes

BACKGROUND: The expression of m6A-related genes and their significance in COVID-19 patients are still unknown. METHODS: The GSE177477 and GSE157103 datasets of the Gene Expression Omnibus were used to extract RNA-seq data. The expression of 26 m6A-related genes and immune cell infiltration in COVID-...

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Detalles Bibliográficos
Autores principales: Lu, Lingling, Li, Yijing, Ao, Xiulan, Huang, Jiaofeng, Liu, Bang, Wu, Liqing, Li, Dongliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707050/
https://www.ncbi.nlm.nih.gov/pubmed/36460278
http://dx.doi.org/10.1016/j.meegid.2022.105389

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707050/
https://www.ncbi.nlm.nih.gov/pubmed/36460278
http://dx.doi.org/10.1016/j.meegid.2022.105389

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