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Variability of Betweenness Centrality and Its Effect on Identifying Essential Genes
Christina Durón1, Yuan Pan2, David H Gutmann3
1Math Department, Claremont Graduate University, Claremont, CA, 91711, USA.
Abstract:
This paper begins to build a theoretical framework that would enable the pharmaceutical industry to use network complexity measures as a way to identify drug targets. The variability of a betweenness measure for a network node is examined through different methods of network perturbation. Our results indicate a robustness of betweenness centrality in the identification of target genes.
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