Sentence examples for centrality above from inspiring English sources

In comparing networks created in both earthquakes to fit in Gillmann's typology, the principal-component-mode visualization was performed, based on the value of degree and betweenness centrality above.

The 22 sncRNAs with a combined centrality above percentile 0.975 (Combined centrality > 1.6) are listed (C).

The nodes with a combined centrality above 8.6 (97.5th percentile) are 15 ncRNAs (6 snoRNAs and 9 miRNAs) and, along with their first neighbors (2176 genes), form the core of the global network.

Other than degree centrality, all the above three centrality metrics require the global knowledge of the network for their computation.

EP300 and NCOA2 showed centrality parameters above average in the both networks.

To highlight the most important 'hub' SNPs, we applied the same procedure but we considered as 'hubs' the SNPs that present at least one centrality measure above μ + 3σ.

We ran Pearson and Spearman correlations using the MATLAB statistical toolbox against the probability of infection in two baseline simulations (with and without vaccination) against the four measures of centrality described above.

With the exception of P-networks not raising the B-centrality value above those obtained from R-networks, affiliation-driven networks were better at improving both P-centrality and B-centrality (B-centrality χ2 3,N = 1200) = 513.11, p<0.0001; P-centrality χ2 3,N = 1200) = 1137.7, p<0.0001; p<0.05 for all multiple comparisons with R-network values except B-centrality in P-networks).

To test this, the proteins above centrality averages in the graph theory assessment were used as input for three independent systems biology tools: two propriety databases (IPA and MetaCore), and the publically available database DAVID.

Even on the map, it seems to promise stillness, repose, centrality: a green valley hemmed above by the monolithic mass of China, to the left by India's thrusting wedge, on the right by Indochina crouched like a dragon.

As earlier works have tried to predict the success of papers based on the number of coauthors [14], using degree centrality as basis for the above classification rule directly extends these attempts, yielding a recall of 20% and a precision of 20%.