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生物网络的中心性分析方法及其在基因调控网络中的应用。

Centrality analysis methods for biological networks and their application to gene regulatory networks.

作者信息

Koschützki Dirk, Schreiber Falk

机构信息

Department of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, 06466 Gatersleben, Germany.

出版信息

Gene Regul Syst Bio. 2008 May 15;2:193-201. doi: 10.4137/grsb.s702.

DOI:10.4137/grsb.s702
PMID:19787083
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2733090/
Abstract

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.

摘要

生物网络的结构分析包括根据网络的连接结构对顶点进行排序。为了支持这一分析，我们讨论了指示顶点重要性的中心性度量，并展示了它们在基因调控网络中的适用性。我们表明，常见的中心性度量会导致对顶点的不同评估，并且针对特定生物学研究量身定制的新度量对于生物网络，特别是基因调控网络的分析是有用的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d6/2733090/5e3a6cb4b96c/grsb-2008-193f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d6/2733090/7ebb09199c9b/grsb-2008-193f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d6/2733090/5f2b12ebb136/grsb-2008-193f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d6/2733090/58f9825d8c6f/grsb-2008-193f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d6/2733090/5e3a6cb4b96c/grsb-2008-193f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d6/2733090/7ebb09199c9b/grsb-2008-193f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d6/2733090/5f2b12ebb136/grsb-2008-193f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d6/2733090/58f9825d8c6f/grsb-2008-193f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d6/2733090/5e3a6cb4b96c/grsb-2008-193f4.jpg

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