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Performance of RF classifier in predicting human-virus PPIs based on different sequence-based encoding schemes. Areas under the Precision-Recall curves (AUPRC) indicate that doc2vec encoding provided best prediction performance compared to a combination of Local Descriptor (LD), Conjoint Triad (CT) and Auto Covariance (AC) as well as these encoding techniques separately (A) applying 5-fold cross-validation and (B) using an independent test set.
