Extended Data Fig. 5: Analysis of two different clustering-based methods (namely, flowMeans and FlowSOM) used to assign cell types on the Schurch et al.6 dataset.
(a) Heatmaps of cluster marker expressions on different numbers of clusters (n = 20, 30, 50) with two independent annotators (Anno1 and Anno2) to assign cluster cell types based on manual assessment of cluster protein marker expressions; light green indicates matched annotations and dark green indicates mismatched annotations. (b) Percentage of matched cluster annotations between the two annotators as a function of the number of clusters, for two different clustering methods. (c) Number of cell types identified by the two annotators as a function of the number of clusters, for the two different clustering methods. (d) The percentage of cells assigned to unknown cell types with CELESTA and the two different clustering methods, as a function of the number of clusters and the annotator. (e) F1 scores per cell type, comparing CELESTA and cell type assignments from the two annotators using the two different clustering methods, where annotations from Schurch et al. are used as ground truth. Abbreviations: Anno1 for Annotator 1; Anno2 for Annotator 2.
