Centrality analysis methods for biological networks and their application to gene regulatory networks.
Centrality analysis methods for biological networks and their application to gene regulatory networks.
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DOI：
10.4137/grsb.s702
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发表时间：
2008-05-15
期刊：
影响因子：
--
通讯作者：
Schreiber F
中科院分区：
文献类型：
--
作者：
Koschützki D;Schreiber F
生物网络的结构分析包括基于网络连接结构的顶点排序。为了支持这一分析，我们讨论的中心性措施，表明顶点的重要性，并证明其适用于基因调控网络。我们发现，共同的中心性措施的结果在不同的估值的顶点和新的措施，专门针对特定的生物调查是有用的生物网络，特别是基因调控网络的分析。
The structural analysis of biological networks includes the ranking of the vertices based on the connection structure of a network. To support this analysis we discuss centrality measures which indicate the importance of vertices, and demonstrate their applicability on a gene regulatory network. We show that common centrality measures result in different valuations of the vertices and that novel measures tailored to specific biological investigations are useful for the analysis of biological networks, in particular gene regulatory networks.