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The prediction of protein function is one of the problems arising in the recent progress in bioinformatics. A common used approach is to derive clusters from PPI dataset. However, such results often contain false positives. In this study, we propose a novel algorithm, EVDENSE, to efficiently mine frequent dense subgraphs from PPI networks. Instead of using summary graph, EVDENSE produces frequent...
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