Fig. 3: Per-cell type performance of participant and comparator deconvolution methods.

A Pearson correlation of method (left axis) prediction versus known proportion from admixture for each cell type (bottom axis). Pearson correlation is first averaged over validation dataset and then over bootstraps (n = 1000; Methods) and subsequently averaged over coarse- and fine-grained sub-Challenges for cell types occurring in both. Black entry indicates cell type not predicted by corresponding method. Bottom two rows are the mean and maximum correlation, respectively, for corresponding cell type across methods. Rightmost column is mean correlation for corresponding method across predicted cell types. Highest correlations for each cell type highlighted in bold italics. B Performance (Pearson correlation; x axis) of comparator baseline methods and participant methods ranking within the top three in either or both sub-Challenges (y axis) for each cell type (facet label). Distribution of Pearson correlations over bootstraps (n = 1000; Methods), computed as average over validation datasets and subsequently over coarse- and fine-grained sub-Challenges for cell types occurring in both. Blank row indicates cell type not reported by the corresponding method. Comparator methods in bold. Boxplots display median (center line), 25th and 75th percentiles (hinges), and 1.5x interquartile range (whiskers). In both panels, methods ordered according to their mean Pearson correlation across cell types (rightmost column in (A)), and cell types ordered according to their maximum Pearson correlation across methods (bottom row in (A)). Source data are provided as a Source Data file.