Fig. 1
From: Model-based cell clustering and population tracking for time-series flow cytometry data
Conceptual view of the analysis by CYBERTRACK. The aim of CYBERTRACK is to model and analyze time-series flowcytometry data to understand dynamic cell population behavior that spans certain period of time. In time-series flow cytometry analysis, cells are acquired sequentially and their expression levels of marker proteins are analyzed, giving data matrices of cells and markers for each timepoint. CYBERTRACK takes these data matrices as an input and performs i) clustering, ii) tracking cell population dynamics, and iii) detecting change-points in cell population constitution