Identification of diagnostic gene biomarkers and immune infiltration in patients with diabetic kidney disease using machine learning strategies and bioinformatic analysis

Identification of diagnostic gene biomarkers and immune infiltration in patients with diabetic kidney disease using machine learning strategies and bioinformatic analysis

ObjectiveDiabetic kidney disease (DKD) is the leading cause of chronic kidney disease and end-stage renal disease worldwide. Early diagnosis is critical to prevent its progression. The aim of this study was to identify potential diagnostic biomarkers for DKD, illustrate the biological processes rela...

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Bibliographic Details
Main Authors: Shaojie Fu, Yanli Cheng, Xueyao Wang, Jingda Huang, Sensen Su, Hao Wu, Jinyu Yu, Zhonggao Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Medicine
Subjects:
diabetic kidney disease
immune infiltration
diagnostic biomarker
bioinformatic analysis
machine learning strategy
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.918657/full

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