Variability of Betweenness Centrality and Its Effect on Identifying Essential Genes

Christina Durón, Yuan Pan, David H. Gutmann, Johanna Hardin, Ami Radunskaya

Research output: Contribution to journalArticle

1 Scopus citations

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.

Original languageEnglish
Pages (from-to)3655-3673
Number of pages19
JournalBulletin of Mathematical Biology
Volume81
Issue number9
DOIs
StatePublished - Sep 15 2019

Keywords

  • Betweenness centrality
  • Differential expression
  • Network complexity measure

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