Fig. 6

Prediction response to venetoclax. A Probability of sensitivity to venetoclax calculated from BCL2 family signature-based logistic regression model in training set (BeatAML; 81 sensitive and 72 resistant) and external validation set (LeuceGene and Tavor; 20+32 sensitive and 3+2 resistant). The sensitivity probabilities of BeatAML represent the average probability from the 10-times repeated training-testing scheme. Those of LeuceGene and Tavor are calculated from the whole BeatAML-based classifier. P-values are calculated using Wilcoxon rank-sum test by comparing the probability rank between the response groups. B Comparison of prediction performance between venetoclax response classifiers. The black bar indicates the BCL2 family signature-based logistic regression model. The dark grey bars indicate logistic regression models using the original expression of five BCL family genes (BCL2+MCL1+BFL1+BCLXL+BCLW), three BCL2 family genes (BCL2+MCL1+BFL1), and top differentially expressed genes (DEGs), respectively. The light grey bars indicate machine learning-based models using total genes or pre-collected genes related to BCL2 family regulation. The used machine learning methods are support vector machine, Lasso, and random forest (RF). Error bar indicates 95% confidence interval (CI). P-values are calculated compared with the signature model using DeLong’s test. * < 0.05, ** < 0.01, *** < 0.001