MSHGANMDA

MSHGANMDA is a new method for miRNA-disease association prediction.

Environments

• Python 3.6.13
• dgl 0.5.1
• numpy 1.19.5
• torch 1.9.0
• pandas 0.25.1

Dataset

M-d association

miRNA-disease associations

Multi-types m-d association

multi_all_mirna_disease_pairs_without_negative

Node Features

disease features : D_SSM1,D_SSM2,D_GSM
miRNA features : M_FSM,M_GSM

How to run?

python main.py 

If you refer to our study, please cite

@ARTICLE{9807419,
  author={Wang, Shudong and Wang, Fuyu and Qiao, Sibo and Zhuang, Yu and Zhang, Kuijie and Pang, Shanchen and Nowak, Robert and Lv, Zhihan},  
  journal={IEEE Journal of Biomedical and Health Informatics},   
  title={MSHGANMDA: Meta-Subgraphs Heterogeneous Graph Attention Network for miRNA-Disease Association Prediction},   
  year={2023},  
  volume={27},  
  number={10},  
  pages={4639-4648},  
  doi={10.1109/JBHI.2022.3186534}}