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.
|Number of pages||19|
|Journal||Bulletin of Mathematical Biology|
|State||Published - Sep 15 2019|
- Betweenness centrality
- Differential expression
- Network complexity measure