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• W2559743740 abstract "A new search heuristic, Divided Neighborhood Exploration Search, designed to be used with inference algorithms such as Bayesian networks to improve on the reverse engineering of gene regulatory networks is presented. The approach systematically moves through the search space to find topologies representative of gene regulatory networks that are more likely to explain microarray data. In empirical testing it is demonstrated that the novel method is superior to the widely employed greedy search techniques in both the quality of the inferred networks and computational time." @default.
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• W2559743740 date "2017-01-01" @default.
• W2559743740 modified "2023-09-26" @default.
• W2559743740 title "Variable neighborhood search for reverse engineering of gene regulatory networks" @default.
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• W2559743740 doi "https://doi.org/10.1016/j.jbi.2016.11.010" @default.
• W2559743740 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27919733" @default.
• W2559743740 hasPublicationYear "2017" @default.
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