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To boost the prediction overall performance, seven informative functions tend to be selected for category by detatching redundant and unimportant features. In addition, we especially generate two benchmark information sets (training and independent test), which contain an overall total of 119 BBPs from public databases while the literature. In the training data set, BBPpred shows guaranteeing shows with an AUC score of 0.8764 and an AUPR score of 0.8757 utilizing the 10-fold cross-validation. We also
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