Fig. 5

CluBCpG enables proportional estimation of in silico cell mixtures. a Illustration of how individual reads from pure B cell and monocyte WGBS libraries were mixed computationally to create synthetic cell mixtures. b Examples of data columns from the ENCODE training data used to fit a linear model. B cell to monocyte proportion is the dependent variable. Each column represents a read-level methylation pattern within a bin, and the number of reads showing that pattern in the bin. c Predicted B cell to monocyte proportion vs. the true proportion on a subset of 20% ENCODE data held out from training of the linear regression model; note at each position 10 points are overlapping one another. d Predicted B cell to monocyte proportion vs. true proportion for all Blueprint B cell and monocyte data. Predictions were based on the linear model fit on the ENCODE data. e Predicted B cell to monocyte proportion vs. true proportion for all Blueprint B cell and monocyte data using only minor clusters. For c–e, the diagonal, red dotted line is the line of identity