Identification of hub genes and pathogenesis in Kawasaki disease based on bioinformatics analysis
Background: The aim of this study was to explore new biomarkers of Kawasaki disease (KD) and provide evidence for clinical diagnosis and treatment. Materials and Methods: Gene Expression Omnibus (GEO) datasets GSE68004 and GSE73461 were downloaded, and the differentially expressed genes (DGEs) were...
Saved in:
Main Authors: | Min Cao, Zhenhu Zhang, Qian Liu, Yuda Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wolters Kluwer Medknow Publications
2024-04-01
|
Series: | Indian Journal of Pathology and Microbiology |
Subjects: | |
Online Access: | https://journals.lww.com/10.4103/ijpm.ijpm_524_23 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Assessment of sleep problems in patients with Kawasaki disease: a survey-based study
by: Samar Tharwat, et al.
Published: (2025-02-01) -
Similarities and Differences between Coronavirus Disease 2019-related Multisystem Inflammatory Syndrome in Children and Kawasaki Disease in Indian Patients
by: Utkarsh Singh, et al.
Published: (2024-05-01) -
Bioinformatics insights into mitochondrial and immune gene regulation in Alzheimer's disease
by: Tian Meng, et al.
Published: (2025-02-01) -
Identification and expression analysis of the ZF-HD gene family in castor
by: XU Xingyuan, et al.
Published: (2024-12-01) -
Exploratory analysis of the position of Chinese cities as international tourism hubs: product destination versus business environment internationalization
by: Xiang Feng, et al.
Published: (2021-05-01)