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Fig. 2 | BMC Bioinformatics

Fig. 2

From: EPSILON-CP: using deep learning to combine information from multiple sources for protein contact prediction

Fig. 2

Simplified and aggregated depiction of the feature importance as emitted by XGBoost. The amino acid composition is attributed with the least importance, although it makes up roughly 75% of the features. The different co-evolutionary information entries correspond to different co-evolutionary methods. The feature importance depicted here is the average over a 5-fold cross-validation

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