Yang, C.;                     Wang, Z.;                     Zhang, S.;                     Li, X.;                     Wang, X.;                     Liu, J.;                     Li, R.;                     Zeng, S.    
        MVNMDA: A Multi-View Network Combing Semantic and Global Features for Predicting miRNA–Disease Association. Molecules 2024, 29, 230.
    https://doi.org/10.3390/molecules29010230
    AMA Style
    
                                Yang C,                                 Wang Z,                                 Zhang S,                                 Li X,                                 Wang X,                                 Liu J,                                 Li R,                                 Zeng S.        
                MVNMDA: A Multi-View Network Combing Semantic and Global Features for Predicting miRNA–Disease Association. Molecules. 2024; 29(1):230.
        https://doi.org/10.3390/molecules29010230
    
    Chicago/Turabian Style
    
                                Yang, Chen,                                 Zhen Wang,                                 Shanwen Zhang,                                 Xiaoqian Li,                                 Xuqi Wang,                                 Jiashan Liu,                                 Ruixiang Li,                                 and Sihao Zeng.        
                2024. "MVNMDA: A Multi-View Network Combing Semantic and Global Features for Predicting miRNA–Disease Association" Molecules 29, no. 1: 230.
        https://doi.org/10.3390/molecules29010230
    
    APA Style
    
                                Yang, C.,                                 Wang, Z.,                                 Zhang, S.,                                 Li, X.,                                 Wang, X.,                                 Liu, J.,                                 Li, R.,                                 & Zeng, S.        
        
        (2024). MVNMDA: A Multi-View Network Combing Semantic and Global Features for Predicting miRNA–Disease Association. Molecules, 29(1), 230.
        https://doi.org/10.3390/molecules29010230