Additional file 1: Table S1. of SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides

Abstract

Feature ranking of the proposed adaptive k-skip-2-g features. IG(x,c)a denotes information gain score. Higher IG(x,c) for a feature means the feature is more discriminative. Table S2. Performance of the Random Forest classifier with different tree numbers on the benchmark dataset CPP924 with the jackknife validation test. Note that the tree number is changed from 10 to 500 with the incremental step of 10. (DOCX 61 kb

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