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The algorithm is recursively applied in the graph for identifying the cycles.
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Thus, Pevzner et al. [ 28] developed an A-Bruijn graph algorithm for identifying duplicons from this mosaic structure.
These quantities can be efficiently computed using fast algorithms for partitioning a graph into its communities and for identifying a graph's kmax-shell [39].
As a defense mechanism, for the first time, we propose a graph comparison-based approach for identifying anomalies in an electric network DB.
We have previously proposed a graph theory based approach for identifying minimal reaction set in metabolic networks [ 18].
In addition, the drug pathway graph can be useful for identifying antibiotic drugs that target the same pathway in other organisms.
A P-graph-based approach is used for identifying the root cause of process waste generation and generating broad design alternatives.
In conclusion, an O(n2) algorithm for identifying weakly symmetric graphs is described.
Labels or symbols are preferred rather than colors for identifying lines on a graph.
Logistic regression with graph Laplacian regularization is an effective algorithm for identifying key pathways and modules associated with disease subtypes.
The MultiParanoid algorithm [10] is an extension of the graph-based InParanoid clustering algorithm [11], [42] for identifying orthologs and inparalogs across multiple species.
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