Research Article

Predictions of Apoptosis Proteins by Integrating Different Features Based on Improving Pseudo-Position-Specific Scoring Matrix

Table 6

Performance comparison of different models on the CL317 dataset.

MethodsPrediction accuracy (%)
CyMeMiSeNuEnOA

OF-SVM [3]94.690.976.592.286.593.689.6
FTD-SVM [20]92.989.182.470.686.593.689.0
BOW-SVM [6]94.687.382.482.484.391.589.2
GA_DCCA-SVM [36]92.989.182.476.584.693.689.0
OA-SVM [16]96.195.793.998.095.510096.0
IACC-SVM [18]96.494.582.476.580.893.690.5
PSSMP [17]92.092.782.476.590.493.690.5
EN-FKNN [37]98.283.679.482.490.497.991.5
OA-MLSC [29]95.593.696.494.194.294.194.8
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