2015
DOI: 10.1016/j.biosystems.2014.11.005
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CytoNCA: A cytoscape plugin for centrality analysis and evaluation of protein interaction networks

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Cited by 937 publications
(651 citation statements)
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“…PPI networks were visualized and analyzed using the software platform Cytoscape 3.2.1 with the plugins MCODE for cluster analysis and BinGO for gene ontology analysis of protein clusters (37)(38)(39). Global network topological analysis, including clustering coefficients, average number of neighbors (degree), and network heterogeneity as well as local network analysis using betweenness centrality value calculation were carried out with NetworkAnalyzer and the Cytoscape plugin CytoNCA (40,41). The edges in all PPI networks were treated as undirected.…”
Section: Methodsmentioning
confidence: 99%
“…PPI networks were visualized and analyzed using the software platform Cytoscape 3.2.1 with the plugins MCODE for cluster analysis and BinGO for gene ontology analysis of protein clusters (37)(38)(39). Global network topological analysis, including clustering coefficients, average number of neighbors (degree), and network heterogeneity as well as local network analysis using betweenness centrality value calculation were carried out with NetworkAnalyzer and the Cytoscape plugin CytoNCA (40,41). The edges in all PPI networks were treated as undirected.…”
Section: Methodsmentioning
confidence: 99%
“…We used a plugin to Cytoscape called "cytoNCA" [24] and CentriBin [20] to determine the centrality values. The distributions of the centrality values are shown in Fig.…”
Section: Results and Discussion A Determination And Normalization Ofmentioning
confidence: 99%
“…It can be extended through Cytoscape plug-ins. In this work we use Cytoscape ver.3.4.0 integrated with CytoNCA plug-ins [24] to calculate SC. In case of DC, CC, BC, and EC, we calculate the centrality values by utilizing CentriBin [20].…”
Section: Calculation Of Centralitiesmentioning
confidence: 99%
“…This has been frequently used in many previous studies to represent precision of positive prediction (Deng et al, 2011;Hsing et al, 2008;Li et al, 2011a;Tang et al, 2015). In this work, each set of essential genes or drug targets is used for Ω.…”
Section: Identification Performance Of Functionally Important Genesmentioning
confidence: 99%