Identification of effective diagnostic genes and immune cell infiltration characteristics in small cell lung cancer by integrating bioinformatics analysis and machine learning algorithms.

Abstract

Authors

• Yinyi Chen
  From the Department of Clinical Laboratory (Chen, Han, Liu, Wang, Wu, Yu, Tan); from the Department of Blood Transfusion (Chen), The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, and from the Department of Clinical Laboratory (Luo), The Second Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Jiangxi, China.
• Kexin Han
  From the Department of Clinical Laboratory (Chen, Han, Liu, Wang, Wu, Yu, Tan); from the Department of Blood Transfusion (Chen), The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, and from the Department of Clinical Laboratory (Luo), The Second Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Jiangxi, China.
• Yanzhao Liu
  From the Department of Clinical Laboratory (Chen, Han, Liu, Wang, Wu, Yu, Tan); from the Department of Blood Transfusion (Chen), The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, and from the Department of Clinical Laboratory (Luo), The Second Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Jiangxi, China.
• Qunxia Wang
  From the Department of Clinical Laboratory (Chen, Han, Liu, Wang, Wu, Yu, Tan); from the Department of Blood Transfusion (Chen), The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, and from the Department of Clinical Laboratory (Luo), The Second Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Jiangxi, China.
• Yang Wu
• Simei Chen
  From the Department of Clinical Laboratory (Chen, Han, Liu, Wang, Wu, Yu, Tan); from the Department of Blood Transfusion (Chen), The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, and from the Department of Clinical Laboratory (Luo), The Second Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Jiangxi, China.
• Jianlin Yu
  From the Department of Clinical Laboratory (Chen, Han, Liu, Wang, Wu, Yu, Tan); from the Department of Blood Transfusion (Chen), The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, and from the Department of Clinical Laboratory (Luo), The Second Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Jiangxi, China.
• Yi Luo
  Electrical and Computer Engineering Department, Bioengineering Department, University of California, Los Angeles, CA 90095 USA, and also with the California NanoSystems Institute, University of California, Los Angeles, CA 90095 USA.
• Liming Tan
  From the Department of Clinical Laboratory (Chen, Han, Liu, Wang, Wu, Yu, Tan); from the Department of Blood Transfusion (Chen), The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, and from the Department of Clinical Laboratory (Luo), The Second Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Jiangxi, China.

Keywords

External Resources