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Construction of a neural network diagnostic model for renal fibrosis and investigation of immune infiltration characteristics

9 Jun 2023

Abstract excerpt

Background: Recently, the incidence rate of renal fibrosis has been increasing worldwide, greatly increasing the burden on society. However, the diagnostic and therapeutic tools available for the disease are insufficient, necessitating the screening of potential biomarkers to predict renal fibrosis. Methods: Using the Gene Expression Omnibus (GEO) database, we obtained two gene array datasets (GSE76882 and...

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PMID: 37359552
DOI: 10.3389/fimmu.2023.1183088

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