Que-Salinas, U.;                     Martinez-Peon, D.;                     Reyes-Figueroa, A.D.;                     Ibarra, I.;                     Scheckhuber, C.Q.    
        On the Prediction of In Vitro Arginine Glycation of Short Peptides Using Artificial Neural Networks. Sensors 2022, 22, 5237.
    https://doi.org/10.3390/s22145237
    AMA Style
    
                                Que-Salinas U,                                 Martinez-Peon D,                                 Reyes-Figueroa AD,                                 Ibarra I,                                 Scheckhuber CQ.        
                On the Prediction of In Vitro Arginine Glycation of Short Peptides Using Artificial Neural Networks. Sensors. 2022; 22(14):5237.
        https://doi.org/10.3390/s22145237
    
    Chicago/Turabian Style
    
                                Que-Salinas, Ulices,                                 Dulce Martinez-Peon,                                 Angel D. Reyes-Figueroa,                                 Ivonne Ibarra,                                 and Christian Quintus Scheckhuber.        
                2022. "On the Prediction of In Vitro Arginine Glycation of Short Peptides Using Artificial Neural Networks" Sensors 22, no. 14: 5237.
        https://doi.org/10.3390/s22145237
    
    APA Style
    
                                Que-Salinas, U.,                                 Martinez-Peon, D.,                                 Reyes-Figueroa, A. D.,                                 Ibarra, I.,                                 & Scheckhuber, C. Q.        
        
        (2022). On the Prediction of In Vitro Arginine Glycation of Short Peptides Using Artificial Neural Networks. Sensors, 22(14), 5237.
        https://doi.org/10.3390/s22145237