Guo, Y.;                     Wang, J.;                     Gao, N.;                     Qi, M.;                     Zhang, M.;                     Kong, J.;                     Lv, Y.    
        AlPOs Synthetic Factor Analysis Based on Maximum Weight and Minimum Redundancy Feature Selection. Int. J. Mol. Sci. 2013, 14, 22132-22148.
    https://doi.org/10.3390/ijms141122132
    AMA Style
    
                                Guo Y,                                 Wang J,                                 Gao N,                                 Qi M,                                 Zhang M,                                 Kong J,                                 Lv Y.        
                AlPOs Synthetic Factor Analysis Based on Maximum Weight and Minimum Redundancy Feature Selection. International Journal of Molecular Sciences. 2013; 14(11):22132-22148.
        https://doi.org/10.3390/ijms141122132
    
    Chicago/Turabian Style
    
                                Guo, Yuting,                                 Jianzhong Wang,                                 Na Gao,                                 Miao Qi,                                 Ming Zhang,                                 Jun Kong,                                 and Yinghua Lv.        
                2013. "AlPOs Synthetic Factor Analysis Based on Maximum Weight and Minimum Redundancy Feature Selection" International Journal of Molecular Sciences 14, no. 11: 22132-22148.
        https://doi.org/10.3390/ijms141122132
    
    APA Style
    
                                Guo, Y.,                                 Wang, J.,                                 Gao, N.,                                 Qi, M.,                                 Zhang, M.,                                 Kong, J.,                                 & Lv, Y.        
        
        (2013). AlPOs Synthetic Factor Analysis Based on Maximum Weight and Minimum Redundancy Feature Selection. International Journal of Molecular Sciences, 14(11), 22132-22148.
        https://doi.org/10.3390/ijms141122132