Sentence examples for difference in the centrality from inspiring English sources

Exact(1)

In general, there was a weak difference in the centrality scores between the genes of selection and nonselection.

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However, the plots also indicate the enormous sensitivity of the degree centrality to the threshold level, as significant differences in the centrality values are observed between different thresholds.

But this measure does not account for differences in the centrality of one's friends.

However, we did not see any difference in the betweenness centrality of the top ten microRNAs by degree or the top ten genes by degree in the signalling pathways (p<0.089 to p<0.687 for microRNAs and p<0.37 to p<0.987 for genes).

The difference in global centrality between SZGenes and the other four gene sets was even stronger than that in characteristic shortest-path distances, e.g., the P values by the same test ranged from <2.2×10−16 to 2.7×10−4.

Finally, to better understand the effect of vaccination status on the correlations derived above, we also used Student's  t-test to examine the difference in the four measures of centrality between participants who did and who did not report vaccination.

To justify this choice, Table 1 shows the difference in the Degree and Eigenvector centralities between the most central node and the other top ten most important nodes in the network.

This highlights the fact that there is a significant difference in the rankings produced by degree centrality measure and our algorithm.

The area under the curve (AUC) for each ROC was computed for each centrality metric and compared in all subjects using multiple pairwise t-tests with Bonferoni correction to test for differences between the centrality metrics.

In the nonresponder group, among whom exenatide did not decrease energy intake, there were no differences in eigenvector centrality in the hypothalamic region between exenatide and placebo condition.

In the Centrality condition, the gestures matched the speech in that they represented the mean difference between the groups that ate chocolate or not (Fig. 1).

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