Empirical studies have shown that this approach is well adapted to FCM ii data, in which a high abundance of outliers and asymmetric cell populations are frequently observed.
In recognition of concern for an efficient automated FCM analysis platform, we have developed an R package called flowClust to automate the gating analysis with the proposed methodology.