Platelet RNA signature independently predicts ovarian cancer prognosis by deep learning neural network model.

Journal: Protein & cell
Published Date:

Abstract

No abstract available for this article.

Authors

  • Chun-Jie Liu
    Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
  • Hua-Yi Li
    National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Yue Gao
    Institute of Medical Technology, Peking University Health Science Center, Beijing, China.
  • Gui-Yan Xie
    Center for Artificial Intelligence Biology, Hubei Bioinformatics & Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
  • Jian-Hua Chi
    National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Gui-Ling Li
    Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
  • Shao-Qing Zeng
    National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Xiao-Ming Xiong
    Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
  • Jia-Hao Liu
    National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Lin-Li Shi
    Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
  • Xiong Li
    School of Software, East China Jiaotong University, Nanchang, 330013, China.
  • Xiao-Dong Cheng
    Department of Gynecological Oncology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310011, China.
  • Kun Song
    Department of Obstetrics and Gynecology, Qilu Hospital, Shandong University, Jinan, 250012, China.
  • Ding Ma
    Department of Obstetrics and Gynaecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
  • An-Yuan Guo
    Center for Artificial Intelligence Biology, Hubei Bioinformatics & Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
  • Qing-Lei Gao
    National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China. qingleigao@hotmail.com.