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Table 11 Comparison with other methods on three benchmark datasets

From: Prediction of protein structural classes by different feature expressions based on 2-D wavelet denoising and fusion

DatasetPrediction accuracy(%)
Methodall-αall-βα/βα + βOA
25PDBMEDP [58]87.878.376.057.474.8
SCPRED [22]92.680.174.071.079.7
PKS-PPSC [59]89.286.782.665.681.3
Zhang et al. [23]92.487.482.071.083.9
PSSS-PSSM [25]96.687.183.078.986.6
PSSS-PsePSSM [60]96.490.590.281.289.5
WD-PseAAC [53]95.797.794.884.493.1
This paper98.098.998.097.598.1
1189MEDP [58]85.284.084.445.275.8
SCPRED [22]89.186.789.653.880.6
PKS-PPSC [59]89.286.782.665.681.3
Zhang et al. [23]92.487.482.071.083.2
PSSS-PSSM [25]94.288.485.371.885.0
PSSS-PsePSSM [60]91.991.887.773.986.6
WD-PseAAC [53]98.799.094.068.990.8
This paper98.299.399.191.397.3
640MEDP [58]84.875.386.453.874.7
SCPRED [22]90.681.885.966.780.8
PKS-PPSC [59]89.185.188.171.483.1
Zhang et al. [23]
PSSS-PSSM [25]
PSSS-PsePSSM [60]87.081.284.770.881.0
WD-PseAAC [53]92.895.592.178.989.5
This paper95.798.197.293.696.1