Deciphering ligand-receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data.

Journal: Computers in biology and medicine
PMID: 37364528

Abstract

BACKGROUND: Cell-cell communication in a tumor microenvironment is vital to tumorigenesis, tumor progression and therapy. Intercellular communication inference helps understand molecular mechanisms of tumor growth, progression and metastasis.

Authors

  • Lihong Peng
    School of Computer Science, Hunan University of Technology, Zhuzhou, China.
  • Jingwei Tan
    School of Computer Science, Hunan University of Technology, Zhuzhou, 412007, Hunan, China.
  • Wei Xiong
    Department of Nutrition and Health, China Agricultural University, Beijing 100193, China; Food Laboratory of Zhongyuan, Luohe, Henan 462300, China. Electronic address: xiongwei910702@126.com.
  • Li Zhang
    Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
  • Zhao Wang
    Department of Urology, Xiangya Hospital, Central South University, Changsha, China.
  • Ruya Yuan
    School of Computer Science, Hunan University of Technology, Zhuzhou, 412007, Hunan, China.
  • Zejun Li
  • Xing Chen
    School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, 221116, China. xingchen@amss.ac.cn.

Keywords

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