Diagnostics, Vol. 10, Pages 317: Clustering and Kernel Density Estimation for Assessment of Measurable Residual Disease by Flow Cytometry

Diagnostics, Vol. 10, Pages 317: Clustering and Kernel Density Estimation for Assessment of Measurable Residual Disease by Flow Cytometry Diagnostics doi: 10.3390/diagnostics10050317 Authors: Hugues Jacqmin Bernard Chatelain Quentin Louveaux Philippe Jacqmin Jean-Michel Dogné Carlos Graux François Mullier Standardization, data mining techniques, and comparison to normality are changing the landscape of multiparameter flow cytometry in clinical hematology. On the basis...

Diagnostics

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