Fig. 5

Feature ablation study demonstrates the importance of feature integration for modeling. a auROC and auPRC of 4 different models on cCRE-gene pair classification. Large (red): the model trained with 17 types of features. Medium (yellow): the model trained with 8 types of features (genomic sequence, DNase, CTCF, H3K27ac, H3K4me3, H3K9ac, EP300, and POLR2AphosphoS5). Small (blue): the model trained with 5 types of features (genomic sequence, DNase, CTCF, H3K27ac, and H3K4me3). b Large model trained with 17 types of features outperforms other models on cCRE-gene interaction classification tasks. Minus signs indicate the following type of feature is removed during model training. Labels (positive/negative) of cCRE-gene pairs were from the same source as Fig. 2. The colors of dots indicate the Pearson r between observed and predicted expression of K562-specific genes