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

22 Nov 2022

Abstract excerpt

Background To identify the diagnostic biomarkers of metabolism-related genes (MRGs), and investigate the association of the MRGs and immune infiltration landscape in diabetic nephropathy (DN). Methods The transcriptome matrix was downloaded from the GEO database. R package “limma” was utilized to identify the differential expressed MRGs (DE-MRGs) of HC and DN samples. Genetic Ontology (GO) and Kyoto Encyclopedia...

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PMID: 36482994
DOI: 10.3389/fendo.2022.1026938

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