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Identifying potential biomarkers for non-obstructive azoospermia using WGCNA and machine learning algorithms

3 Oct 2023

Abstract excerpt

Objective: The cause and mechanism of non-obstructive azoospermia (NOA) is complicated; therefore, an effective therapy strategy is yet to be developed. This study aimed to analyse the pathogenesis of NOA at the molecular biological level and to identify the core regulatory genes, which could be utilised as potential biomarkers. Methods: Three NOA microarray datasets (GSE45885, GSE108886, and GSE145467) were...

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PMID: 37854191
DOI: 10.3389/fendo.2023.1108616

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