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EAGLE: An algorithm that utilizes a small number of genomic features to predict tissue/cell type-specific enhancer-gene interactions

Fig 5

Predictive importance of training features across four common cell lines.

The method permuting out-of-bag predictor observation was adopted to evaluate the relative importance of each feature. All features showed good robustness with effective importance (> = 0.05) across all cell lines. Some features such as DIS contribute > = 38% in all cells. However, some features such as WEEC and EWS have different importance in different cells.

Fig 5

doi: https://doi.org/10.1371/journal.pcbi.1007436.g005