de Cripan, S.M.;                     Cereto-Massagué, A.;                     Herrero, P.;                     Barcaru, A.;                     Canela, N.;                     Domingo-Almenara, X.    
        Machine Learning-Based Retention Time Prediction of Trimethylsilyl Derivatives of Metabolites. Biomedicines 2022, 10, 879.
    https://doi.org/10.3390/biomedicines10040879
    AMA Style
    
                                de Cripan SM,                                 Cereto-Massagué A,                                 Herrero P,                                 Barcaru A,                                 Canela N,                                 Domingo-Almenara X.        
                Machine Learning-Based Retention Time Prediction of Trimethylsilyl Derivatives of Metabolites. Biomedicines. 2022; 10(4):879.
        https://doi.org/10.3390/biomedicines10040879
    
    Chicago/Turabian Style
    
                                de Cripan, Sara M.,                                 Adrià Cereto-Massagué,                                 Pol Herrero,                                 Andrei Barcaru,                                 Núria Canela,                                 and Xavier Domingo-Almenara.        
                2022. "Machine Learning-Based Retention Time Prediction of Trimethylsilyl Derivatives of Metabolites" Biomedicines 10, no. 4: 879.
        https://doi.org/10.3390/biomedicines10040879
    
    APA Style
    
                                de Cripan, S. M.,                                 Cereto-Massagué, A.,                                 Herrero, P.,                                 Barcaru, A.,                                 Canela, N.,                                 & Domingo-Almenara, X.        
        
        (2022). Machine Learning-Based Retention Time Prediction of Trimethylsilyl Derivatives of Metabolites. Biomedicines, 10(4), 879.
        https://doi.org/10.3390/biomedicines10040879