A comparison framework and guideline of clustering methods for mass cytometry data

Background With the expanding applications of mass cytometry in medical research, a wide variety of clustering methods, both semi-supervised and unsupervised, have been developed for data analysis. Selecting the optimal clustering method can accelerate the identification of meaningful cell populations. Result To address this issue, we compared three classes of performance measures, “precision” as external evaluation, “coherence” as internal...