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An improved AP algorithm for identifying overlapping functional modules in protein-protein interaction networks

机译:一种改进的识别蛋白质-蛋白质相互作用网络中重叠功能模块的AP算法

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Identifying modules in protein-protein interaction (PPI) networks is important to understand the organization of the cellular processes. In this paper, an improved algorithm based on affinity propagation (AP) is proposed. We embed AP in our algorithm by utilizing AP to find the candidate overlapping vertices and keep those satisfying our filter condition. We apply our algorithm to S. cerevisiae PPI networks. The experimental results show that compared with AP, MCL, MCODE and CPM, our algorithm can discover more functional modules with high matching rate. Our proposed method is validated as an effective algorithm in identifying overlapping functional modules and can provide more insights for future biological study.
机译:识别蛋白质-蛋白质相互作用(PPI)网络中的模块对于理解细胞过程的组织很重要。本文提出了一种基于亲和力传播(AP)的改进算法。通过利用AP查找候选重叠顶点,并保持那些满足我们过滤条件的顶点,我们将AP嵌入到我们的算法中。我们将我们的算法应用于啤酒酵母PPI网络。实验结果表明,与AP,MCL,MCODE和CPM相比,我们的算法可以发现更多具有较高匹配率的功能模块。我们提出的方法被验证为识别重叠功能模块的有效算法,可以为将来的生物学研究提供更多的见识。

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