Fig. 8: Evaluation of SWIFT clusters that change with age. | Communications Biology

Fig. 8: Evaluation of SWIFT clusters that change with age.

From: SwiftReg cluster registration automatically reduces flow cytometry data variability including batch effects

Fig. 8: Evaluation of SWIFT clusters that change with age.

a–c The registered and non-registered samples described in Fig. 7 were analyzed by comparing the numbers of cells/cluster between the oldest 20 and youngest 20 subjects (n = 20 biologically independent samples per group). Each dot represents one cluster. p Values were calculated by two-sided Wilcoxon test, followed by Benjamini–Hochberg correction for multiple measures and plotted against the ratio of the geometric means of the old and young groups. The colored line indicates p = 0.05. Clusters were classified by cluster gating (Supplementary Fig. 6a) into a live cell clusters, b B cell clusters, and c CD8 T cell clusters. In d, each dot represents one subject. Cluster sizes are sorted by age or batch for two selected naive CD8 T cell clusters (124 and 322), and the sum of the cells in all 32 naive CD8 T cell clusters for each subject. p Values were derived from a two-sided Wilcoxon test of two subject groups (oldest vs. youngest) with n = 20 biologically independent samples per group.

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