CellCycleTRACER is a supervised machine-learning algorithm that classifies and sorts single-cell mass cytometry data according to their cell cycle, which allows us to correct for cell-cycle-state and cell-volume heterogeneity. (Also see CellCycleTRACER in Assays). It is downloadable and also implemented as a simple and intuitive graphical user interface and can be applied to any mass cytometry dataset.