Differential contribution to gene expression prediction of histone modifications at enhancers or promoters
Fig 4
PE models trained in differentiation time points.
(A) Performance of each differentiation enhancer model on the rest of the differentiation time points as compared to performance over random models. Performance is represented as Pearson’s correlation (r) between predicted expression and measured expression. Significance was assessed using a paired Student’s t-test between the performance of the models and the performance of the random models paired by the differentiation test set (****p < 0.0001, ***p < 0.001, **p < 0.01, *p < 0.05). CM, cardiomyocytes; CN, cortical neurons; CP, cardio precursors; MES, mesoderm; NPC, neural precursors. (B) Importance of the histone modifications for each differentiation enhancer model. Importance is defined as the contribution of each variable in the linear regression predictive model and corresponds to the absolute value of the t-statistic for each model parameter.