Fig. 3

Results obtained from applying IDOL to the training set. a Stacked bar plots showing the FACS measured fractions of granulocytes (Gran), monocytes (Mono), natural-killer cell (NK), B cells (Bcell), CD8T lymphocytes (CD8T), and CD4T lymphocytes (CD4T) across the 6 training samples. b Hierarchical clustering heat map of the mean methylation signature of leukocyte cell-types (columns) based on the 300 optimized L-DMRs (rows) identified by IDOL. The column dendrogram is colored to reflect the cell lineage of the leukocyte subtypes, where lymphocyte-derived subtypes are colored pink and myeloid-derived cell types are colored blue. c Scatterplots of FACS measured cell fractions (x-axes) and predicted cell proportions obtained using the optimized IDOL library (y-axes). Dotted lines indicate the line of unity and colored lines represent the regression line fit to the FACS measured cell fractions and predicted cell fractions. d Overlap between IDOL and EstimateCellCounts libraries. e Image plot showing the difference in the dispersion separability criterion (DSC) between the IDOL and EstimateCellCounts libraries for discriminating specific pairs of leukocyte subtypes. For a given pair of leukocytes, larger values of DSC difference (shades of blue) indicate better discrimination associated with the IDOL library, whereas smaller values of DSC difference (shades of red) indicate better discrimination associated with the EstimateCellCounts library. f Histogram showing the results of a permutation-based testing procedure for examining the difference in the overall DSC between the IDOL and EstimateCellCounts libraries