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Flow cytometry (FCM) is widely used in cancer research for diagnosis, detection of minimal residual disease, as well as immune monitoring and profiling following immunotherapy. In all these applications, the challenge is to detect extremely rare cell subsets while avoiding spurious positive events. To achieve this objective, it helps to be able to analyze FCM data using multiple markers simultaneously, since the additional information provided often helps to minimize the number of falsedoi:10.1007/s00262-010-0883-4 pmid:20563720 pmcid:PMC2892609 fatcat:cbrzutk5lna5ljn3h4qjwdan6q