Integrating bioinformatics and machine learning to identify glomerular injury genes and predict drug targets in diabetic nephropathy
Abstract Diabetes mellitus (DM) is a chronic metabolic disorder that poses significant challenges to public health. Among its various complications, diabetic nephropathy (DN) emerges as a critical microvascular complication associated with high mortality rates. Despite the development of diverse the...
Saved in:
| Main Authors: | Li Zhang, ZhenPeng Sun, Yao Yuan, Jie Sheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-01628-5 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Screening and bioinformatics analysis of IgA nephropathy gene based upon GEO database
by: Liu Yin, et al.
Published: (2021-01-01) -
Membranous nephropathy combined mild damage to kidney function of anti glomerular basement membrane disease
by: BAO Hong-mei, et al.
Published: (2017-01-01) -
Evolution of chronic glomerular disease spectrum and epidemiological characteristics of membranous nephropathy
by: XIE Zhi-yong, et al.
Published: (2019-01-01) -
Integrating bioinformatics and metabolomics to identify potential biomarkers of hypertensive nephropathy
by: Kezhen Yang, et al.
Published: (2025-03-01) -
Identifying the potential therapeutic targets of tertiary lymphoid structure in IgA nephropathy based on bioinformatics
by: Mengxiao Zou, et al.
Published: (2025-12-01)