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Table 1 10-fold cross-validation of different combinations of features on RSC758

From: Prediction of redox-sensitive cysteines using sequential distance and other sequence-based features

Feature

ACC

SN

SP

MCC

AUC

D + PSSM + SS + SA + PC

0.650

0.540

0.761

0.309

0.705

D + PSSM + SS + PC

0.653

0.529

0.777

0.316

0.705

D + PSSM + SS

0.658

0.516

0.801

0.330

0.700

D + PSSM

0.644

0.503

0.785

0.300

0.691

D

0.639

0.442

0.835

0.301

0.671

SS

0.555

0.770

0.339

0.121

0.559

PSSM

0.575

0.578

0.573

0.150

0.590

SA

0.557

0.552

0.562

0.114

0.554

PCP

0.525

0.611

0.439

0.051

0.542

  1. The results are sorted by AUC value. The feature set in bold was selected as the optimal
  2. D sequential distance to adjacent cysteines, PSSM PSSM profile, SS predicted secondary structure, SA predicted solvent accessibility, PCP physical-chemical property
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BMC Bioinformatics

ISSN: 1471-2105

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