Machine learning-based metabolism-related genes signature and immune infiltration landscape in diabetic nephropathy

Machine learning-based metabolism-related genes signature and immune infiltration landscape in diabetic nephropathy

BackgroundTo identify the diagnostic biomarkers of metabolism-related genes (MRGs), and investigate the association of the MRGs and immune infiltration landscape in diabetic nephropathy (DN).MethodsThe transcriptome matrix was downloaded from the GEO database. R package “limma” was utilized to ident...

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Bibliographic Details
Main Authors: Huangjie Zhang, Jinguo Hu, Junfeng Zhu, Qinglin Li, Luo Fang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Endocrinology
Subjects:
diabetic nephropathy
metabolism-related genes
immune infiltration landscape
diagnostic biomarker
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.1026938/full

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https://www.frontiersin.org/articles/10.3389/fendo.2022.1026938/full

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