Background: High-dimensional flow cytometry and mass cytometry allow\nsystemic-level characterization of more than 10 protein profiles at single-cell resolution\nand provide a much broader landscape in many biological applications, such as disease\ndiagnosis and prediction of clinical outcome. When associating clinical information\nwith cytometry data, traditional approaches require two distinct steps for identification\nof cell populations and statistical test to determine whether the difference between\ntwo population proportions is significant. These two-step approaches can lead to\ninformation loss and analysis bias.
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