Identification and validation of diagnostic signature genes in non-obstructive azoospermia by machine learning

Non-obstructive azoospermia (NOA) is a common cause of male infertility, and no specific diagnostic indicators exist. In this study, we used human testis datasets GSE45885, GSE45887, and GSE108886 from GEO database as training datasets, and screened 6 signature genes (all lowly expressed in the NOA...

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Detalles Bibliográficos
Autores principales: Ran, Lingxiang, Gao, Zhixiang, Chen, Qiu, Cui, Fengmei, Liu, Xiaolong, Xue, Boxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2023
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257997/
https://www.ncbi.nlm.nih.gov/pubmed/37227814
http://dx.doi.org/10.18632/aging.204749

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257997/
https://www.ncbi.nlm.nih.gov/pubmed/37227814
http://dx.doi.org/10.18632/aging.204749

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