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Gandham et al.[13] designed a two-phase approach which first computes a valid edge coloring and then assigns directions for all edges to avoid interference.
Since { e, e′} is not a valid edge, H is not a restricted triangulation, a contradiction.
Research work [ 16] presents a new valid edge detection algorithm based on an SVM to avoid the disadvantages of traditional image edge detection methods.
To minimize the impact of systematic errors (Guo et al., 2012), we require that a neighboring k-mer is seen on both sequencing strands to be a valid edge in the graph.
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For a fixed number of valid edges, we generated five random networks and five sets of random valid edges for each network.
It processes the partial clustering and the set of current edges, to produce valid edges.
It was found that the errors decrease when more valid edges were provided.
The proportional errors were averaged over the five networks and five sets of valid edges.
Once the set of valid edges have been defined, for each microarray observation all valid pathways are extracted.
Even when the valid edges were mixed with invalid edges, the errors did not become much larger.
Providing invalid network edges only (without valid edges) had little effect on the errors, especially when many observations were available.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com