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Protein phosphorylation is an important step in many biological processes, such as cell cycles, membrane transport, apoptosis, etc. In order to obtain more useful information about protein phosphorylation, it is necessary to develop a robust, stable, and accurate approach to predict phosphorylation sites. Although there exist a number of approaches to predict phosphorylation sites, such as those based...
Protein phosphorylation is an important step in many biological processes, such as cell cycles, membrane transport, apoptosis, and so on. We design a new classifier ensemble approach called Bagging-Adaboost Ensemble (BAE) for the prediction of eukaryotic protein phosphorylation sites, which incorporates the bagging technique and the adaboost technique into the classifier framework to improve the accuracy,...
In order to enable more effective image retrieval via keywords, automatic image annotation and categorization becomes an important problem in computer vision and content based image retrieval. Unfortunately, there exists a semantic gap between the low-level feature vectors and the high-level semantics or concepts. In this paper, we design a basic concept repertory to bridge this semantic gap. Specifically,...
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