Integrating traditional machine learning with qPCR validation to identify solid drug targets in pancreatic cancer: a 5-gene signature study.

Journal: Frontiers in pharmacology
Published Date:

Abstract

BACKGROUND: Pancreatic cancer remains one of the deadliest malignancies, largely due to its late diagnosis and lack of effective therapeutic targets.

Authors

  • Xiaoyan Wang
    Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
  • Pengcheng Yu
    Department of General Surgery, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
  • Wei Jia
    Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
  • Bingbing Wan
    Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
  • Zhougui Ling
    Department of Pulmonary and Critical Care Medicine, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
  • Yangyang Tang
    Department of General Surgery, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.

Keywords

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