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Integrated approach of machine learning, Mendelian randomization and experimental validation for biomarker discovery in diabetic nephropathy

6 Oct 2024

Abstract excerpt

AIM: To identify potential biomarkers and explore the mechanisms underlying diabetic nephropathy (DN) by integrating machine learning, Mendelian randomization (MR) and experimental validation. METHODS: Microarray and RNA-sequencing datasets (GSE47184, GSE96804, GSE104948, GSE104954, GSE142025 and GSE175759) were obtained from the Gene Expression Omnibus database. Differential expression analysis identified the...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 39370621
DOI: 10.1111/dom.15933

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