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Let e ∈ E L be an edge connected to v i,j in the prototype chromosome graph.
Then, we define E S = { e i, j | 1 ≤ i ≤ N C, 0 ≤ j ≤ n i }, E L = { e L k | 1 ≤ k ≤ N A }, E = E S ∪ E L. In a prototype chromosome graph, a path might visit two edges in E L contiguously.
This paper presents some new approaches for computing graph prototypes in the context of the design of a structural nearest prototype classifier.
Below this graph, the prototype shows a list of all admissible roadmaps associated with the selected scenario sorted by descending NPV.
Figure 4 illustrates connections revealed by a subset of the strongest prototypes (43 prototypes) in form of a graph.
Next, we describe the architecture of a prototype, which contains the Reachability Graph as a main component and is designed to answer Location Dependent Queries.
We first construct an undirected graph called a prototype chromosome graph, G = (V,E).
The first criterion allows to distinguish set prototypes which are selected in the initial graph training set from generalized prototypes which are generated in an infinite set of graphs.
These EFLs are present in various superfamilies mainly related to nucleic acid binding, which is reflected in the graph by edges connecting prototype 1845 to thirteen superfamilies.
By representing proteins folds and functions in form of a graph connected by the prototypes one can proceed to explore the emergence of protein functions as combinations of prototypes.
In another answer regarding the timing of releases, he explained how his team "showed the original prototype of what we much later named Graph Search in the early summer of 2011".
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