Jacqmin, H.;                     Chatelain, B.;                     Louveaux, Q.;                     Jacqmin, P.;                     Dogné, J.-M.;                     Graux, C.;                     Mullier, F.    
        Clustering and Kernel Density Estimation for Assessment of Measurable Residual Disease by Flow Cytometry. Diagnostics 2020, 10, 317.
    https://doi.org/10.3390/diagnostics10050317
    AMA Style
    
                                Jacqmin H,                                 Chatelain B,                                 Louveaux Q,                                 Jacqmin P,                                 Dogné J-M,                                 Graux C,                                 Mullier F.        
                Clustering and Kernel Density Estimation for Assessment of Measurable Residual Disease by Flow Cytometry. Diagnostics. 2020; 10(5):317.
        https://doi.org/10.3390/diagnostics10050317
    
    Chicago/Turabian Style
    
                                Jacqmin, Hugues,                                 Bernard Chatelain,                                 Quentin Louveaux,                                 Philippe Jacqmin,                                 Jean-Michel Dogné,                                 Carlos Graux,                                 and François Mullier.        
                2020. "Clustering and Kernel Density Estimation for Assessment of Measurable Residual Disease by Flow Cytometry" Diagnostics 10, no. 5: 317.
        https://doi.org/10.3390/diagnostics10050317
    
    APA Style
    
                                Jacqmin, H.,                                 Chatelain, B.,                                 Louveaux, Q.,                                 Jacqmin, P.,                                 Dogné, J.-M.,                                 Graux, C.,                                 & Mullier, F.        
        
        (2020). Clustering and Kernel Density Estimation for Assessment of Measurable Residual Disease by Flow Cytometry. Diagnostics, 10(5), 317.
        https://doi.org/10.3390/diagnostics10050317