Predicting disease genes based on multi-head attention fusion.

Journal: BMC bioinformatics
Published Date: Apr 21, 2023

Abstract

BACKGROUND: The identification of disease-related genes is of great significance for the diagnosis and treatment of human disease. Most studies have focused on developing efficient and accurate computational methods to predict disease-causing genes. Due to the sparsity and complexity of biomedical data, it is still a challenge to develop an effective multi-feature fusion model to identify disease genes.

Authors

  • Linlin Zhang
    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China.
  • Dianrong Lu
    College of information Science and Engineering, Xinjiang University, Urumqi, China.
  • Xuehua Bi
    Medical Engineering and Technology College, Xinjiang Medical University, Urumqi, China.
  • Kai Zhao
    Department of Gastroenterology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Guanglei Yu
    Medical Engineering and Technology College, Xinjiang Medical University, Urumqi, China.
  • Na Quan
    College of information Science and Engineering, Xinjiang University, Urumqi, China.

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