Identification of immune-related hub genes and potential molecular mechanisms involved in COVID-19 via integrated bioinformatics analysis
Abstract COVID-19, caused by the SARS-CoV-2 virus, poses significant health challenges worldwide, particularly due to severe immune-related complications. Understanding the molecular mechanisms and identifying key immune-related genes (IRGs) involved in COVID-19 pathogenesis is critical for developi...
Saved in:
| Main Authors: | Rui Zhu, Yaping Zhao, Hui Yin, Linfeng Shu, Yuhang Ma, Yingli Tao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-81803-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of Mendelian randomization and bioinformatic analysis to construct a prognostic model for thyroid cancer and perform pan-cancer analysis
by: Zhenrun Zhan, et al.
Published: (2025-07-01) -
Analysis and validation of hub genes for atherosclerosis and AIDS and immune infiltration characteristics based on bioinformatics and machine learning
by: Qirui Zheng, et al.
Published: (2025-04-01) -
Identification of critical biomarkers and immune infiltration in preeclampsia through bioinformatics and machine learning methods
by: Weiwen Li, et al.
Published: (2025-02-01) -
Identification of hub programmed cell death-related genes and immune infiltration in Crohn’s disease using bioinformatics
by: Biyao Wang, et al.
Published: (2024-12-01) -
Identification immune-related hub genes in diagnosing atherosclerosis with ischemic stroke through comprehensive bioinformatics analysis and machine learning
by: Ming Zhang, et al.
Published: (2025-04-01)