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

Lingxiang Ran; Zhixiang Gao; Qiu Chen; Fengmei Cui; Xiaolong Liu; Boxin Xue

doi:doi:10.18632/aging.204749

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Research Paper Volume 15, Issue 10 pp 4465—4480

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

Figure 5. Single-cell maps define the cellular location of signature genes. (A) Overall UMAP of NOA versus control. (B) UMP distinguishing the origin. (C) UMAP of cellular localization of signature genes. (D) Violin plot of cellular localization of signature genes. (E) Violin plot of signature genes expression in NOA versus control. (P < 0.05, Abbreviations: NOA: non-obstructive azoospermia; CON: control group).