PredPPCrys: Accurate Prediction of Sequence Cloning, Protein Production, Purification and Crystallization Propensity from Protein Sequences Using Multi-Step Heterogeneous Feature Fusion and Selection
Figure 5
Statistical significance of the contributions of selected features to the prediction performance of the five classes, evaluated based on the negative logarithmic value of p-value (-log(P)) calculated using t-tests.
Contribution significance was determined using t-tests, and only the final selected feature types that made a significant contribution (p<0.01) to performance were included in the analysis. The vertical and horizontal axes display the contributory features. The pie chart insets denote the percentages of selected feature types in the final feature subset for each class.