[Exploring the mechanisms of ferroptosis in non-obstructive azoospermia based on bioinformatics and machine learning].

Journal: Zhonghua nan ke xue = National journal of andrology
PMID: 38639655

Abstract

OBJECTIVE: To explor the potential mechanisms of ferroptosis involvement in non-obstructive azoospermia based on bioinformatics and machine learning methods.

Authors

  • Hong-Ping Shen
    Centers of Traditional Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315100， China.
  • Jia-Yi Song
    Center of Reproductive Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315100， China.
  • Xuan Zhou
    Clinical Trial Institution, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315100, China.
  • Ya-Hua Liu
    Center of Reproductive Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315100， China.
  • Yun-Jie Chen
    Department of Pharmacy, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315100， China.
  • Yi-Li Cai
    Centers of Traditional Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315100， China.
  • Yuan-Bin Zhang
    Department of Pharmacy, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315100， China.
  • Yi Yu
    Center of Reproductive Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315100， China.
  • Xue-Qin Chen
    Centers of Traditional Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315100， China.

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