挖掘人类蛋白质相互作用组中最大的准团

M. Bhattacharyya, S. Bandyopadhyay
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引用次数: 24

摘要

团是图的完全子图。通常,团被解释为图中密集的顶点模块。然而,在许多现实世界的情况下,需要放宽寻找小集团的经典问题。这激发了寻找拟曲线的问题,拟曲线是图的几乎完全子图。在稀疏和非常大的无标度网络中,用现有的方法很难找到最大的准团。在本文中,我们提出了一种启发式算法,用于从人类蛋白质-蛋白质相互作用网络中定位最大的准团。通过探索重要的蛋白质模块,该结果显示了计算生物学研究的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mining the Largest Quasi-clique in Human Protein Interactome
A clique is a complete subgraph of a graph. Often, a clique is interpreted as a dense module of vertices within a graph. However, in many real-world situations, the classical problem of finding a clique is required to be relaxed. This motivates the problem of finding quasicliques that are almost complete subgraphs of a graph. In sparse and very large scale-free networks, the problem of finding the largest quasi-clique becomes hard to manage with the existing approaches. Here, we propose a heuristic algorithm in this paper for locating the largest quasi-clique from the human protein-protein interaction networks. The results show promise in computational biology research by the exploration of significant protein modules.
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