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WoLF PSORT version 2.0 [ 45] was used to predict protein localization using the higher prediction score for external compartments.
From our observations, the true positives are more often predicted by combining multiple models, and with higher prediction scores.
Experimental results show that many blocks can be better predicted by the proposed method, and therefore a higher prediction quality can be achieved with acceptable overheads.
The prediction methods of SOMs usually have higher prediction accuracy.
Compared to the neural network, the SVM yields higher prediction accuracy while requiring less training samples.
Larger historical data length implies more precise prediction model, which will result in higher prediction accuracy.
Comparing with RBF network, PRBF model has higher prediction accuracy, without the effect of error accumulation.
Lower error values and higher classification values indicate higher prediction accuracy.
The conclusion suggested that the integration approach produced higher prediction accuracy than individual models.
Compared with the established MLR model, the obtained L-ANN model shows slightly higher prediction accuracy.
Further, the technique with higher prediction accuracy will be used for analysis.
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