Fig. 3: Deconvolution of AML and healthy samples using DeconmiR.

A Stacked bar charts of the cellular fractions for the 112 AML samples from TCGA. B Scatter plots for the cellular fractions predicted by DeconmiR and CIBERSORT (left panel), as well as by DeconmiR and EpiDISH (middle panel) for AML samples. Pearson correlation coefficients and p-values were calculated between the cellular fractions estimated by different methods. The corresponding RMSE values for the comparison are also presented (right panel). C Boxplots for cell fraction distribution in AML (n = 112) and healthy (n = 77) samples across the six blood cell types. ****p < 0.0001 for two-sided Wilcox rank sum test (p = 7.61e−16, 1.89e−17, and 5.19e−4 for CD8+ T cell, NK cell and Neutrophil, respectively). The boxes are bounded by the 25 and 75 percentiles and the center represents the median. The whiskers extend from each edge of the box to indicate the 1.5× interquartile range (IQR). D Clustering heatmap of the cell type fractions in AML samples. Two sample groups can be observed with different cell type fraction distribution. E Kaplan–Meier survival plot indicates different prognosis for these two groups of patients. The survival difference between different groups is calculated by log-rank test. Source data are provided as a Source Data file.