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Flow cytometry data can be analyzed by various methods. For high-dimensional flow cytometry, the use of dimensionality reduction algorithms for visualization is recommended. Coupled with clustering algorithms, dimensionality reduction can aid in the identification of novel or rare cellular populations.
