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DisPredict: A Predictor of Disordered Protein Using Optimized RBF Kernel

Fig 2

Overview of feature aggregation, optimization-layer and classification-layer in DisPredict.

In the feature aggregation step, features are shown in their abbreviated form according to Table 1 and the arrows are labeled by the number of features involved. The classification-layer receives final feature set from the feature aggregation step and optimal parameters from the optimization-layer. Then, it generates the predictor model and outputs both binary annotation and real-valued class probabilities.

Fig 2