Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease association prediction.

Journal: Briefings in bioinformatics
Published Date: Nov 5, 2021

Abstract

MOTIVATION: In recent years, a growing number of studies have proved that microRNAs (miRNAs) play significant roles in the development of human complex diseases. Discovering the associations between miRNAs and diseases has become an important part of the discovery and treatment of disease. Since uncovering associations via traditional experimental methods is complicated and time-consuming, many computational methods have been proposed to identify the potential associations. However, there are still challenges in accurately determining potential associations between miRNA and disease by using multisource data.

Authors

  • Xinru Tang
    College of Computer Science and Electronic Engineering, Hunan University, Changsha 410083, China.
  • Jiawei Luo
  • Cong Shen
    Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA;
  • Zihan Lai
    College of Computer Science and Electronic Engineering, Hunan University, Changsha 410083, China.

Keywords

External Resources

Popular Topics
Recent Journals