Extended Data Fig. 3: Comparison of different statistical models for predicting all STARR-seq peaks using a 30-feature model. | Nature Methods

Extended Data Fig. 3: Comparison of different statistical models for predicting all STARR-seq peaks using a 30-feature model.

From: Supervised enhancer prediction with epigenetic pattern recognition and targeted validation

Extended Data Fig. 3: Comparison of different statistical models for predicting all STARR-seq peaks using a 30-feature model.The alternative text for this image may have been generated using AI.

The performance of the different statistical models to integrate the information from 30 epigenetic features is shown. a) The numbers within the parentheses refer to the AUROC and AUPR for predicting the STARR-seq peaks (single core promoter) with histone peaks while the numbers outside the parentheses refer to the AUROC and AUPR for predicting STARR-seq peaks identified after combining multiple core promoters. b) The individual ROC and PR curves for each statistical model. c) The contribution of the matched filter score for each epigenetic feature to the different integrated models.

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