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We directly define our graph by using a bidirected graph.
Although Oesper et al. [ 18] used alternating paths, their formulation can be represented by using a bidirected graph whose edges have directions at both ends [ 19, 32].
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Here, we formulate the problem of inferring the global structure of chromosomes from SVs as an optimization problem on a bidirected graph.
These graphs are essentially the same as our chromosome graphs, except that we used bidirected graphs [ 19, 20] while they used alternating paths to exclude paths on the graph that do not correspond to chromosomes.
Let G = (V, E) be a general bidirected graph.
For implementation, we require an algorithm that can calculate an optimal circulation on the bidirected graph.
Through the conflict rules we can model the conflict representation of all clusters using a graph denoted as conflict graph.
We could now compute the similarity between the representative graphs using a graph kernel.
The interaction was interpreted using a line graph.
This is also true for bidirected graphs.
We addressed this problem using a graph theoretical approach.
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