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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{
    wang2023mshganmda,
    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}
  }

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MSHGANMDA is a method for miRNA-disease Prediction.

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