Sentence examples for maximal clique method from inspiring English sources
While on cellular component category, the clusters detected by ADHOC possess p-values that are approximately 50-fold, 30-fold, 800-fold, 3000-fold and 5000-folowerwer than CFinder, MCODE, DPClus, IPCA and Maximal Clique method, respectively.
Therein, the clusters on molecular functions category, have p-values that are approximately 4-fold, 10-fold, 20-fold, 30-fold and 60-fold lower than CFinder, MCODE, DPClus, IPCA and Maximal Clique method, respectively.
On biological process category, the p-values of the clusters identified by ADHOC are approximately 25-fold, 150-fold, 800-fold, 2000-fold and 2500-folowerwer than CFinder, MCODE, DPClus, IPCA and Maximal Clique method, respectively.
To overcome the relatively high stringency imposed by the maximal clique method, the Quasi Clique [ 7], Molecular Complex Detection (MCODE) [ 12], Spirin and Mirny [ 11] algorithms identify densely connected subgraphs rather than fully connected ones by either optimizing an objective density function or using a density threshold.
Using maximal cliques, this method extracts a minimal representation of the graph that determines the clique complex.
In this study, the overlapping community structure was identified through partitioning the maximal clique network using the modularity optimization method [11].
We also computed a partition for the non-overlapping community structure in the structural brain network using the modularity optimization method [42], which was the same as the method of partitioning the maximal clique network.
The method proposed in [32] can parallelize maximal clique enumeration on an individual vertex.
Moreover, in EW-IDNC algorithm, a packet combination (i.e., a maximal clique κ) over a given feasible window is selected by following methods described in Section 6 or Section 7. At Step 1 of Iteration 1, the EW-IDNC algorithm selects a maximal clique κ over the smallest feasible window ω ℓ.
To quantify this, and rank graphs in terms of how closer to a maximal clique they were brought, we defined a connectivity coefficient, C, in Materials and Methods.
CytoHubba provides 11 topological analysis methods including Degree, Edge Percolated Component, Maximum Neighborhood Component, Density of Maximum Neighborhood Component, Maximal Clique Centrality and six centralities (Bottleneck, EcCentricity, Closeness, Radiality, Betweenness, and Stress) based on shortest paths.
