Identification of important nodes in directed biological networks: a network motif approach.

Identification of important nodes in complex networks has attracted an increasing attention over the last decade. Various measures have been proposed to characterize the importance of nodes in complex networks, such as the degree, betweenness and PageRank. Different measures consider different aspec...

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Autores principales:	Pei Wang, Jinhu Lü, Xinghuo Yu
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7ca64e1a65c44bf6ac4f87cba8304f15
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spelling	oai:doaj.org-article:7ca64e1a65c44bf6ac4f87cba8304f152021-11-25T06:02:29ZIdentification of important nodes in directed biological networks: a network motif approach.1932-620310.1371/journal.pone.0106132https://doaj.org/article/7ca64e1a65c44bf6ac4f87cba8304f152014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25170616/?tool=EBIhttps://doaj.org/toc/1932-6203Identification of important nodes in complex networks has attracted an increasing attention over the last decade. Various measures have been proposed to characterize the importance of nodes in complex networks, such as the degree, betweenness and PageRank. Different measures consider different aspects of complex networks. Although there are numerous results reported on undirected complex networks, few results have been reported on directed biological networks. Based on network motifs and principal component analysis (PCA), this paper aims at introducing a new measure to characterize node importance in directed biological networks. Investigations on five real-world biological networks indicate that the proposed method can robustly identify actually important nodes in different networks, such as finding command interneurons, global regulators and non-hub but evolutionary conserved actually important nodes in biological networks. Receiver Operating Characteristic (ROC) curves for the five networks indicate remarkable prediction accuracy of the proposed measure. The proposed index provides an alternative complex network metric. Potential implications of the related investigations include identifying network control and regulation targets, biological networks modeling and analysis, as well as networked medicine.Pei WangJinhu LüXinghuo YuPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 8, p e106132 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Pei Wang Jinhu Lü Xinghuo Yu Identification of important nodes in directed biological networks: a network motif approach.
description	Identification of important nodes in complex networks has attracted an increasing attention over the last decade. Various measures have been proposed to characterize the importance of nodes in complex networks, such as the degree, betweenness and PageRank. Different measures consider different aspects of complex networks. Although there are numerous results reported on undirected complex networks, few results have been reported on directed biological networks. Based on network motifs and principal component analysis (PCA), this paper aims at introducing a new measure to characterize node importance in directed biological networks. Investigations on five real-world biological networks indicate that the proposed method can robustly identify actually important nodes in different networks, such as finding command interneurons, global regulators and non-hub but evolutionary conserved actually important nodes in biological networks. Receiver Operating Characteristic (ROC) curves for the five networks indicate remarkable prediction accuracy of the proposed measure. The proposed index provides an alternative complex network metric. Potential implications of the related investigations include identifying network control and regulation targets, biological networks modeling and analysis, as well as networked medicine.
format	article
author	Pei Wang Jinhu Lü Xinghuo Yu
author_facet	Pei Wang Jinhu Lü Xinghuo Yu
author_sort	Pei Wang
title	Identification of important nodes in directed biological networks: a network motif approach.
title_short	Identification of important nodes in directed biological networks: a network motif approach.
title_full	Identification of important nodes in directed biological networks: a network motif approach.
title_fullStr	Identification of important nodes in directed biological networks: a network motif approach.
title_full_unstemmed	Identification of important nodes in directed biological networks: a network motif approach.
title_sort	identification of important nodes in directed biological networks: a network motif approach.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/7ca64e1a65c44bf6ac4f87cba8304f15
work_keys_str_mv	AT peiwang identificationofimportantnodesindirectedbiologicalnetworksanetworkmotifapproach AT jinhulu identificationofimportantnodesindirectedbiologicalnetworksanetworkmotifapproach AT xinghuoyu identificationofimportantnodesindirectedbiologicalnetworksanetworkmotifapproach
_version_	1718414291436044288

Identification of important nodes in directed biological networks: a network motif approach.

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