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Variability of Betweenness Centrality and Its Effect on Identifying Essential Genes

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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Author information

Correspondence to Ami Radunskaya.

Additional information

This work was partially supported by NIH R01CA195692.

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Durón, C., Pan, Y., Gutmann, D.H. et al. Variability of Betweenness Centrality and Its Effect on Identifying Essential Genes. Bull Math Biol 81, 3655–3673 (2019). https://doi.org/10.1007/s11538-018-0526-z

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Keywords

  • Network complexity measure
  • Differential expression
  • Betweenness centrality