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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL)

Fig. 1

Impact of L-DMR library on the accuracy of cell composition estimation. a, b Hierarchical clustering heat maps of the mean methylation signatures of isolated leukocyte subtypes [3] using (a) the top 600 ANOVA-ranked L-DMRs (TopANOVA library) and (b) the 600 L-DMRs that uniquely distinguish each cell type from all other cell types (EstimateCellCounts default library). Column dendrograms are colored to reflect the cell-lineage of leukocyte subtypes: lymphocytes (pink) and myeloid-derived cells (blue). c Image plot showing the difference in the dispersion separability criterion (DSC) between the EstimateCellCounts and TopANOVA libraries. For a given pair of leukocyte subtypes, larger values of DSC difference (shades of blue) indicate better discrimination associated with the EstimateCellCounts library, whereas smaller values of DSC difference (shades of red) indicate better discrimination associated with the TopANOVA library. d Scatterplots of the CMD predicted and FACS cell fractions for the n=6 AdultMixed samples. Dashed lines indicate the line of unity, dotted lines represent the fitted regression lines based on cell predictions obtained using the TopANOVA library, and solid lines represent the fitted regression lines based on cell predictions obtained using the EstimateCellCounts library. e Cell-specific prediction performance for the AdultMixed samples based on the TopANOVA and EstimateCellCounts libraries

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