Wang Chunlin, Ding Chris, Yang Qiaofeng, Holbrook Stephen R
Physical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Genome Biol. 2007;8(12):R271. doi: 10.1186/gb-2007-8-12-r271.
We propose a new network decomposition method to systematically identify protein interaction modules in the protein interaction network. Our method incorporates both a global metric and a local metric for balance and consistency. We have compared the performance of our method with several earlier approaches on both simulated and real datasets using different criteria, and show that our method is more robust to network alterations and more effective at discovering functional protein modules.
我们提出了一种新的网络分解方法，用于系统地识别蛋白质相互作用网络中的蛋白质相互作用模块。我们的方法结合了全局度量和局部度量，以实现平衡和一致性。我们使用不同标准，在模拟数据集和真实数据集上，将我们的方法与几种早期方法的性能进行了比较，结果表明我们的方法对网络变化更具鲁棒性，并且在发现功能性蛋白质模块方面更有效。
