2023
DOI: 10.7717/peerj.16608
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Identification of novel biomarkers in obstructive sleep apnea via integrated bioinformatics analysis and experimental validation

Kai Zhang,
Caizhen Wang,
Yunxiao Wu
et al.

Abstract: Background Obstructive sleep apnea (OSA) is a complex and multi-gene inherited disease caused by both genetic and environmental factors. However, due to the high cost of diagnosis and complex operation, its clinical application is limited. This study aims to explore potential target genes associated with OSA and establish a corresponding diagnostic model. Methods This study used microarray datasets from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs) related to OS… Show more

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