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In the web-published diagram, each node is clickable and links to a complete list of interactions in which it is involved; interactions themselves are supported by hyperlinked PMIDs.
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The results of these comparisons are summarized using a network diagram, where each node represents the set of trees from an MCMC Bayesian analysis for its corresponding segment.
In a diagram we label each node by the code of the haplogroup for which the corresponding sequence is the most recent common ancestor.
To visualize this comparison of carbapenemase plasmids, we generated a network diagram in which each node represented a plasmid and each line represented shared sequence between 2 plasmids.
In Figure 3, the diagram indicates that, for each node v i, we maintain M combinations of k incoming nodes with M lowest errors at the kth step.
In addition, two tracks can also be co-visualized in a node-link diagram in which node and edge colors are determined by data in one of the tracks, respectively.
Fig. 1 Network diagram and node degree distribution diagram of two types of models.
By using this diagram, a node purity value for every variable (node of a tree) can be determined by means of the Gini index [21].
The influence of node N i could be denoted by the influence of these nodes in wireless sensor network, as shown in Fig. 2. Fig. 2 The schematic diagram of node influence calculation.
A metabolic pathway created in CellDesigner is a state transition diagram with complex node structure that represents vertexes, state nodes (SN) and transition nodes (TN) and edges between SN and TN (ST-Edge) or rather TN and SN (TS-Edge).
Fig. 2 State transition diagram of one node.
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