Integrated machine learning and bioinformatic analyses constructed a sulfur metabolism-related breast cancer risk model and identified heat-shock protein A9 as a potential therapeutic target for human breast cancer.

Journal: Discover oncology
Published Date:

Abstract

No abstract available for this article.

Authors

  • Yuan Yuan
    Department of Geriatrics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
  • Shuyao Zhang
    Department of Pharmacy, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital of Jinan University), Guangzhou, Guangdong 510220, P.R. China.
  • Jialei Fu
    Department of Radiation Oncology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
  • Fei Zhou
    College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.

Keywords

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