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These studies utilized yeast recombinatory plasmids, multiple fusion PCRs and numerous transformation events to stitch together and insert individual genes to create a single full length cluster in A. nidulans.
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Fig. 5 Diffrences in network parameters (strength, path length, clustering coefficient) between the migraineurs and controls.
This paper employs the graph index, average path length, clustering coefficient and three indicators of centrality, namely weighted degree centrality (WDC), weighted closeness centrality (WCC) and weighted betweenness centrality (WBC).
Phase synchronisation, network measures (path length, clustering coefficient, global efficiency, degree node, and network density), and small world index were computed using brain connectivity toolbox (brain-connectivity-toolbox.net) in MATLAB [27].
Protein Blocks (PBs [60]) correspond to a set of 16 local prototypes, labeled from a to p (see Figure 1 of [68]), of 5 residues length, clustered based on φ, ψ dihedral angles description.
MHC supertypes were identified on the basis of branch length; clusters of individuals (n>1) which were separated from other individuals by a branch length of ≤0.007 (an arbitrarily chosen value, after visual inspection of data) were categorized as a unique supertype (Fig. 2).
Although gross inferences regarding network topology (e.g., small-world or scale-free) are robust to the template used, different parcellation strategies affect topological parameters (e.g., path length, clustering, small-worldness, and degree distribution) of structural or functional brain networks [27], [82], [85], [86].
Global topological properties include node degree distribution, path length, clustering coefficient, network diameter, and others.
Global topological characteristics of networks include connectivity distribution, characteristic path length, clustering coefficient, grid coefficient, network diameter, and assortativity [ 7].
Here we used standard methods to compute some of the most commonly used graph theoretic network characteristics average path length, clustering coefficient and small-world index.
For each PON, we investigated three network properties for their largest/main sub-graphs (Table 1), namely, average shortest path length, clustering coefficient, and degree.
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