Figure 4.

Predicting decitabine-responsive genes using logistic regression. Receiver operating curve for predicting decitabine response on the basis of promoter CpG content and methylation level. Models were trained and tested on the YUMAC cell line using ten-fold cross-validation. The plot shows the mean across ten runs, with 2*standard error bars. The area under the curve (AUC) is 77%, compared to 72% and 63%, respectively, for models built on promoter methylation status or CpG content alone.