Combining bioinformatics and machine learning algorithms to identify and analyze shared biomarkers and pathways in COVID-19 convalescence and diabetes mellitus

Combining bioinformatics and machine learning algorithms to identify and analyze shared biomarkers and pathways in COVID-19 convalescence and diabetes mellitus

BackgroundMost patients who had coronavirus disease 2019 (COVID-19) fully recovered, but many others experienced acute sequelae or persistent symptoms. It is possible that acute COVID-19 recovery is just the beginning of a chronic condition. Even after COVID-19 recovery, it may lead to the exacerbat...

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Bibliographic Details
Main Authors: Jinru Shen, Yaolou Wang, Xijin Deng, Si Ri Gu Leng Sana
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Endocrinology
Subjects:
COVID-19 convalescence
diabetes mellitus (DM)
differentially expressed genes (DEGs)
gene ontology (GO)
protein-protein interaction (PPI)
hub gene
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2023.1306325/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2023.1306325/full

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