Machine learning assists regulated cell death crucial biomarker selection in adenocarcinoma of the lung: biological data testing and cell assay determination.

Journal: Discover oncology
Published Date:

Abstract

BACKGROUND: Lung cancer is a highly aggressive and lethal cancer requiring prognostic and predictive biomarkers for improving patient outcomes. Here, a prognostic signature for lung cancer was developed and prognostic programmed cell death (PCD)-related genes were identified.

Authors

  • Han Ning
    Weizikeng Outpatient Department, Jingzhong Medical District, Chinese PLA General Hospital, Beijing, China.
  • Ying Jiang
    Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, 230601 Hefei, China; Key Laboratory of Opto-Electronic Information Acquisition and Manipulation of Ministry of Education, Anhui University, 230601 Hefei, China.
  • Mengli Zheng
    Department of Thoracic Surgery, The Eighth Medical Center of Chinese, PLA General Hospital, Beijing, 100091, China.
  • Gao Yang
    Weizikeng Outpatient Department, Jingzhong Medical District, Chinese PLA General Hospital, Beijing, China.
  • Lianjun Ma
    Department of Thoracic Surgery, The Eighth Medical Center of Chinese, PLA General Hospital, Beijing, 100091, China.
  • Yachao Zhao
    Department of Thoracic Surgery, The Eighth Medical Center of Chinese, PLA General Hospital, Beijing, 100091, China. zhaoycd999@163.com.

Keywords

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