Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks

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...

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Detalles Bibliográficos
Autores principales: Koschützki, Dirk, Schreiber, Falk
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2008
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2733090/
https://www.ncbi.nlm.nih.gov/pubmed/19787083
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author Koschützki, Dirk
Schreiber, Falk
author_facet Koschützki, Dirk
Schreiber, Falk
author_sort Koschützki, Dirk
collection PubMed
description 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.
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spelling pubmed-27330902009-09-28 Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks Koschützki, Dirk Schreiber, Falk Gene Regul Syst Bio Original Research 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. Libertas Academica 2008-05-15 /pmc/articles/PMC2733090/ /pubmed/19787083 Text en © 2008 by the authors http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Original Research
Koschützki, Dirk
Schreiber, Falk
Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks
title Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks
title_full Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks
title_fullStr Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks
title_full_unstemmed Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks
title_short Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks
title_sort centrality analysis methods for biological networks and their application to gene regulatory networks
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2733090/
https://www.ncbi.nlm.nih.gov/pubmed/19787083
work_keys_str_mv AT koschutzkidirk centralityanalysismethodsforbiologicalnetworksandtheirapplicationtogeneregulatorynetworks
AT schreiberfalk centralityanalysismethodsforbiologicalnetworksandtheirapplicationtogeneregulatorynetworks

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