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Bioinformatic identification of key genes and molecular pathways in the spermatogenic process of cryptorchidism

13 Nov 2018

Abstract excerpt

This study aims to determine key genes and pathways that could play important roles in the spermatogenic process of patients with cryptorchidism. The gene expression profile data of GSE25518 was obtained from the Gene Expression Omnibus (GEO) database. Microarray data were analyzed using BRB-Array Tools to identify differentially expressed genes (DEGs) between high azoospermia risk (HAZR) patients and controls....

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 31832523
DOI: 10.1016/j.gendis.2018.11.002

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