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Table 1 Comparison of the performance between the models trained individually and in an integrated manner.

From: Integrated prediction of one-dimensional structural features and their relationships with conformational flexibility in helical membrane proteins

Feature AMAE (Individual) (SD) AMAE (Integrated) (SD) p-value
tASA: 18.73 0.92 17.43 0.75 < 2.2e-16
scASA: 24.32 0.79 22.32 0.96 < 2.2e-16
npASA 22.44 1.2 22.00 1.01 0.02
Phi: 12.16 0.77 12.13 0.74 0.82
Psi: 12.55 0.61 12.53 0.6 0.82
Kappa: 8.51 0.57 8.20 0.51 < 2.2e-16
Alpha: 10.21 0.64 10.23 0.63 0.84
HHC(AUC): 67.04 1.58 67.29 1.19 0.26
  1. AMAE represents the average of the protein-wise mean absolute error (or AUC, the area under the ROC curve, in the case of HHC) and the standard deviation (SD) indicates the protein-wise variation of the AMAE values. The p-values are obtained by Welsh's t-test implemented in the R-programming language. The Integrated model outperformed the individually trained ones for the ASA and bend angle (kappa) predictions, but showed no statistically significant difference for the other conformational angles.