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A clustering algorithm for identifying hierarchical and overlapping protein complexes in large PPI networks

机译:大型PPI网络中用于识别层次结构和重叠蛋白复合物的聚类算法

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With the development of high-throughput technique, protein-protein interactions (PPIs) are increasing fast and available conveniently, which make it possible to identify protein complexes in PPI networkf 1–7]. Many evidences have demonstrated that protein complexes are overlapping and hierarchically organized in PPI networks[8–9], which requires protein complex detection methods can identify both overlapping and hierarchical protein complexes in a PPI network. Meanwhile, the large size of PPI network requires protein complex detection methods based on PPI network running fast. Up to now, few methods can achieve all above requirements.
机译:随着高通量技术的发展,蛋白质间相互作用(PPI)正在迅速增加并且方便使用,这使得在PPI网络中鉴定蛋白质复合物成为可能[f-1-7]。许多证据表明,蛋白复合物在PPI网络中是重叠且层次结构化的[8-9],这要求蛋白复合物检测方法能够识别PPI网络中的重叠蛋白和层次蛋白复合物。同时,大规模的PPI网络需要基于PPI网络快速运行的蛋白质复合物检测方法。到目前为止,很少有方法可以达到上述所有要求。

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