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Identification of endoplasmic reticulum stress-related biomarkers of diabetes nephropathy based on bioinformatics and machine learning

2023-03-07

Abstract excerpt

<h4>Background: </h4> Diabetes nephropathy (DN) is a growing public health concern worldwide. Renal dysfunction impairment in DN is intimately linked to ER stress and its related signaling pathways. Nonetheless, the underlying mechanism and biomarkers for this function of ER stress in the DN remain unknown. <h4>Methods: </h4>: Microarray datasets were retrieved from the Gene Expression Omnibus (GEO) database, and...

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Literature Corpus work
edccd605-2b61-5bb5-b3cd-0c36e783c1b5
DOI
10.21203/rs.3.rs-2588489/v1
Open publication

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Identification of endoplasmic reticulum stress-related biomarkers of diabetes nephropathy based on bioinformatics and machine learningDOI 10.21203/rs.3.rs-2588489/v1
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