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The equations defining the scores in each iteration can be written in matrix form using the adjacency matrix of the directed graph.
D EV is defined in a similar way to D EVB, using the adjacency matrix of G without computing edge betweeness, and as visible in Figure 4, D EV predicts that actor 10 would have the highest incentive to defect while D EVB predicts actor 9 for defection (as indeed took place).
This has an important consequence, given that, if we fix AC = 100, UVCluster-based iterative hierarchical clustering can be performed using the adjacency matrix of the network instead of the matrix of primary distances.
Next, the Topological Overlap Measure (TOM), representing the overlap in shared neighbors, was calculated using the adjacency matrix.
By using the adjacency matrix, the topological overlap measure, which is a similarity measurement, was calculated for each pair of genes.
Modules were defined using the Dynamic Tree Cutting algorithm on a dendrogram created from the dissimilarity-TOM matrix, which was calculated using the adjacency matrix [ 15].
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On the other hand, the Markov CLuster algorithm (MCL) [ 26, 27] simulates a flow on the network by using properties of the adjacency matrix.
2D approaches make use of the adjacency matrix of the molecular graph, and, therefore they are also called topological-based approaches.
At each iteration t, the algorithm includes evidence from neighbors at path length= t. (1) (2) (3) (4) The MSNet score can be rewritten in vector notation using the weighted adjacency matrix U N × N and MS protein probability vector O N ×1 to generate score vector Y N ×1 (Equation 2).
For the first figure, broadband coherence in the 0.08 0.15 Hz band was used to construct the adjacency matrix.
A soft threshold value, power of 16, was used to transform the adjacency matrix to meet the scale-free topology criteria for optimal clustering.
More suggestions(15)
using the design matrix
using the adjacency information
using the response matrix
using the adjacency adjacency
using the generator matrix
using the decision matrix
using the membership matrix
using the resolvent matrix
using the quantization matrix
using the sensitivity matrix
using the transmission matrix
using the bilinear matrix
using the error matrix
using the transfer matrix
using the adjacency operator
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