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Table 2 Increase of the prediction performance upon sequential addition of features. The window size is W = 9, and the AUC score is evaluated in 10-fold cross validation on the S85 dataset

From: SEPIa, a knowledge-driven algorithm for predicting conformational B-cell epitopes from the amino acid sequence

Feature combination

AUC score

F1

0.619

F1 + F2

0.624

F1 + F2 + F10

0.629

F1 + F2 + F10 + F11

0.630

F1 + F2 + F10 + F11 + F12

0.631

F1 + F2 + F9 + F10 + F11 + F12

0.631

F1 + F2 + F6 + F9 + F10 + F11 + F12

0.636

F1 + F2 + F3 + F6 + F9 + F10 + F11 + F12

0.636

F1 + F2 + F3 + F6 + F9 + F10 + F11 + F12 + F13

0.637

F1 + F2 + F3 + F6 + F9 + F10 + F11 + F12 + F13 + F7

0.640

F1 + F2 + F3 + F6 + F9 + F10 + F11 + F12 + F13 + F7 + F4

0.644

F1 + F2 + F3 + F6 + F9 + F10 + F11 + F12 + F13 + F7 + F4 + F5

0.644

F1 + F2 + F3 + F6 + F9 + F10 + F11 + F12 + F13 + F7 + F4 + F5 + F8

0.646

  1. The largest AUC score is indicated in bold
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BMC Bioinformatics

ISSN: 1471-2105

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