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The Betweeness centrality for all genes in the Ensemble network was computed using the NetworkAnalyzer Cytoscape plugin (http://med.bioinf.mpi-inf.mpg.de/netanalyzer/).
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Importance of nodes was determined by first calculating critical topological centrality measures [ 42], including degree (k), betweenness centrality (BC), closeness centrality (CC), and eigenvector centrality (EC), for all nodes and then removing a certain fraction of the nodes.
The degree centralities for all of the nodes in this experiment are listed in Table2 in decreasing order.
In this study, we calculated only the weighted in- and out-degree centralities for all nodes in the different livelihood landscapes, whereas we used both binary and weighted links for the density and centralization calculations (see below).
For each PPI network, we determined these three centralities for all individual nodes, then picked out the house-keeping nodes and calculated their means.
Starting with drug-specific and disease-specific subnetworks in step1, we have imported these networks into the Gephi tool to check different centrality measures for every single gene in step 2. In step 3, for each drug/disease we have selected genes with a centrality measure (degree, closeness and betweenness) that is higher than the average centrality measures for all genes.
We identify hubs and characterize their network contributions by examining motif fingerprints and centrality indices for all regions within the cerebral cortices of both the cat and the macaque.
Network hubs were defined as being in the top 10% of betweenness centrality values for all of the regions investigated.
For two cellular networks, G a and G b, we estimate the degree, betweenness, transitivity, hubscore and closeness centrality values for all genes for a Gene Ontology (GO) term.
For two given gene regulatory networks, G a and G b, we estimate the betweenness centrality values for all genes from a Gene Ontology (GO) term.
Despite an overwhelming acceptance among scientists and science education organizations of the veracity of evolution, its centrality for understanding all of biology, and its power in unifying the sciences, only about 20% of high school students, 52% of college graduates, and 65% of postgraduates accept evolution as a scientific theory well supported by evidence (Brumfield 2005).
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