Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis

Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis

Abstract Background Diabetic nephropathy (DN) is a major microvascular complication of diabetes and has become the leading cause of end-stage renal disease worldwide. A considerable number of DN patients have experienced irreversible end-stage renal disease progression due to the inability to diagno...

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Bibliographic Details
Main Authors: Lin Wang, Jiaming Su, Zhongjie Liu, Shaowei Ding, Yaotan Li, Baoluo Hou, Yuxin Hu, Zhaoxi Dong, Jingyi Tang, Hongfang Liu, Weijing Liu
Format: Article
Language:English
Published: BMC 2024-07-01
Series:BioData Mining
Subjects:
Diabetes nephropathy
Tubulointerstitial injury
Bioinformatics
Machine learning
Immune infiltration
Online Access:https://doi.org/10.1186/s13040-024-00369-x

Internet

https://doi.org/10.1186/s13040-024-00369-x

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