Skip to main content
Fig. 6 | BMC Bioinformatics

Fig. 6

From: Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software

Fig. 6

Correlation between estimated and real cell type-specific methylation profiles. Heatmap of the correlations between cell type-specific methylation profile used for the simulation and cell type-specific methylation profiles estimated (Est.) by different methods. In (a), the correlation between different cell types used for the simulation of the T matrix (data_fib = fibroblast, data_epith = cancerous epithelial, data_lymph = T lymphocytes, data_epit_ctrl = healthy epithelial and data_mes = cancerous mesenchymal). We applied EDec (b), MeDeCom (c) and RefFreeEwas (d) on a representative simulation of 100 patients (α0 = 1, ε = 0.2, G = 1, K = 5) after the removal of confounding probes by linear regression (22,483 remaining probes). We used the Pearson method to compute the correlation between the estimated cell type-specific methylation profiles and real cell type-specific methylation profiles used for the simulation

Back to article page