Integrated Bioinformatics-Based Identification of Potential Diagnostic Biomarkers Associated with Diabetic Foot Ulcer Development
The present study was designed to detect possible biomarkers associated with diabetic foot ulcer (DFU) incidence in an effort to develop novel treatments for this condition. The GSE7014 and GSE29221 gene expression datasets were downloaded from the Gene Expression Omnibus (GEO) database, after which...
Saved in:
Main Authors: | Long Qian, Zhipeng Xia, Ming Zhang, Qiong Han, Die Hu, Sha Qi, Danmou Xing, Yan Chen, Xin Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Journal of Diabetes Research |
Online Access: | http://dx.doi.org/10.1155/2021/5445349 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification of core biomarkers for tuberculosis progression through bioinformatics analysis and in vitro research
by: Zhanpeng Chen, et al.
Published: (2025-01-01) -
Identification of Potential Biomarkers and Immune Features of Sepsis Using Bioinformatics Analysis
by: Fang-Chen Gong, et al.
Published: (2020-01-01) -
Identification and validation of immune and diagnostic biomarkers for interstitial cystitis/painful bladder syndrome by integrating bioinformatics and machine-learning
by: Tao Zhou, et al.
Published: (2025-01-01) -
Utilizing bioinformatics and machine learning to identify CXCR4 gene-related therapeutic targets in diabetic foot ulcers
by: Hengyan Zhang, et al.
Published: (2025-02-01) -
Identification of Senescence-Associated Biomarkers in Diabetic Glomerulopathy Using Integrated Bioinformatics Analysis
by: Li Zhang, et al.
Published: (2024-01-01)