M. Ghasemi, et al., Centrality measures in biological networks, CBIO 9 (4) (2014) 426-441.Ghasemi M, Seidkhani H, Tamimi F, Rahgozar M, Masoudi-Nejad A. Centrality Measures in Biological Networks. Curr Bioinform
Although different approaches to estimating gene centrality are available, their potential biological relevance in gene co-expression networks deserves further investigation. Moreover, standard measures of gene centrality focus on binary interaction networks, which may not always be suitable in the context ...
Measures of node centrality in biological networks are useful to detect genes with critical functional roles. In gene co-expression networks, highly connected genes (i.e., candidate hubs) have been associated with key disease-related pathways. Although different approaches to estimating gene centrality...
Most centrality measures assume that information propagates in networks with the shortest connection paths, but this assumption is not true for most real networks given that information in the brain propagates through all possible paths. This study presents a methodological pipeline for identifying ...
In an air transport network, it has been shown that the closeness of a city is highly correlated with socio-economic indicators such as gross regional domestic product13. Closeness has been applied to biological networks6 and closeness measures were able to identify more than 50% of the global...
We here aim to (i) define a workflow of comparing interaction networks and (ii) develop measures to identify key proteins involved in regulation of nitrogen starvation response. 2. Materials and methods Plant growth conditions –All experiments were done using Arabidopsis thaliana (Col-0). Plant ...
Spectral centrality measures in multilayer networks and their application in scientometrics data-science matlab pagerank scientometrics centrality multilayer-network Updated May 23, 2018 MATLAB ashutoshtiwari13 / SocialNetwork_Analyser Star 6 Code Issues Pull requests Analysis of Centrality -Finding Most...
Centrality Measures for Graph-Based Keyphrase Extraction - centrality_measures_ijcnlp13/output/semeval/candidats.betweenness at master · boudinfl/centrality_measures_ijcnlp13
This is clearly prohibitive for networks with hundreds, or even tens, of nodes. Indeed, certain game-theoretic centrality measures have been proven impossible to compute in time polynomial in the size of the network [49]. On the other hand, some positive computational results have also been ...
The best case scenario for ClC is that there exists just one real-world network (among the 18 networks analyzed) for which the BWC-ClC correlation coefficient is larger than the BWC-LCCDC correlation coefficient under all the three correlation measures; in addition, under the Pearson’s and ...