Bachelor of Science, Hong Kong University Of Science & Technology (2010)
Doctor of Philosophy, University of Iowa (2015)
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.
View details for PubMedID 30350013