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Multi-label learning plays a critical role in the areas of data mining, multimedia, and machine learning. Although many multi-label approaches have been proposed, few of them have considered to de-emphasize the effect of noisy features in the learning process. To address this issue, this paper designs a new method named representative multi-label learning algorithm. Instead of considering all features,...
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...
Given the essential role of protein in life processes, computational assignment of protein functions has become one of the most important tasks in the area of bioinformatics. While Gene Ontology (GO) has been widely used in functional annotation, new approaches to address the problem of annotation incompleteness, which can leverage the support of the GO framework, are imminently required. In this...
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