DeepTI: A deep learning-based framework decoding tumor-immune interactions for precision immunotherapy in oncology.

Journal: SLAS discovery : advancing life sciences R & D
PMID: 35058187

Abstract

BACKGROUND: Increasing evidence suggests the immunomodulatory potential of genes in oncology. But the identification of immune attributes of genes is costly and time-consuming, which leads to an urgent demand to develop a prediction model.

Authors

  • Jianfei Ma
    Key Laboratory of Image Information Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan 430074, China. Electronic address: D201880703@hust.edu.cn.
  • Yan Jin
    Lilly Research Laboratories, Lilly Corporate Center, Indianapolis, IN 46285, USA.
  • Yuanyuan Tang
    Department of Human Anatomy & Histoembryology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang 453003, Henan Province, China; Key Laboratory for Molecular Neurology of Xinxiang, Xinxiang 453003, Henan Province, China.
  • Lijun Li
    Department of Orthopedics, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, PR China; Orthopedics Research Institute of Zhejiang University, Hangzhou, 310000, PR China; Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou City, Zhejiang Province, PR China. Electronic address: lilijun@zju.edu.cn.

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