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Fig. 13 | BMC Bioinformatics

Fig. 13

From: BayesFlow: latent modeling of flow cytometry cell populations

Fig. 13

Summary statistics of inferred cell populations in BayesFlow, ASPIRE and HDPGMM, ordered by population size. For HDPGMM, the six largest components after merging are shown, the remaining components have together at most 0.0013 of the cells in a sample. The noise component in BayesFlow has at most 0.004 of the cells in a sample. a Locations μ jk of mixture components that represent each population, in each sample, cf. Fig. 11. b Box plots of the soft clusters in the pooled data, cf. Fig. 11. c Population proportions across flow cytometry samples

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