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

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 uti...

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Detalles Bibliográficos
Autores principales: Tang, Qizhen, Su, Quanxin, Wei, Letian, Wang, Kenan, Jiang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579891/
https://www.ncbi.nlm.nih.gov/pubmed/37854191
http://dx.doi.org/10.3389/fendo.2023.1108616

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579891/
https://www.ncbi.nlm.nih.gov/pubmed/37854191
http://dx.doi.org/10.3389/fendo.2023.1108616

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