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Abstract-Prediction of protein-proteininteraction sites is very important to the function of a protein and drug design. In this paper, we adequately utilize the characters of ensemble learning, which can improve the accuracy of individual classifier and generalization ability of the system, and propose a new prediction method of protein-protein interaction sites: ensemble learning method based on...
The class imbalance problem usually occurs in real applications. The class imbalance is that the amount of one class may be much less than that of another in training set. Under-sampling is a very popular approach to deal with this problem. Under-sampling approach is very efficient, it only using a subset of the majority class. The drawback of under-sampling is that it throws away many potentially...
The identification of protein-protein interface residues is essential for drug design, understanding cell activity of organism. In this paper, a couple of covering algorithms are presented to predict protein-protein interaction sites by using several protein features, such as sequence profile, residue entropy and so on. These features are utilized to construct covering algorithms classifiers to identify...
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