Laplacian谱与蛋白质相互作用网络
Laplacian Spectrum and Protein-Protein Interaction Networks
摘要：
从（归一化）图拉普拉斯算子的谱图中，可以同时推导出网络的基本定性性质。给定一类经验网络，然后可以开发用于阐明导致这些特定数据的演化动力学的重建方案。该方法以蛋白质相互作用网络为例。他们的重复和分歧过程的进化历史的痕迹被确定。特别是，我们可以确定典型的具体功能，强大的区分蛋白质相互作用网络从其他类别的网络，尽管潜在的数据可能的统计波动。
英文摘要：
From the spectral plot of the (normalized) graph Laplacian, the essential qualitative properties of a network can be simultaneously deduced. Given a class of empirical networks, reconstruction schemes for elucidating the evolutionary dynamics leading to those particular data can then be developed. This method is exemplified for protein-protein interaction networks. Traces of their evolutionary history of duplication and divergence processes are identified. In particular, we can identify typical specific features that robustly distinguish protein-protein interaction networks from other classes of networks, in spite of possible statistical fluctuations of the underlying data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
