Variability of Betweenness Centrality and Its Effect on Identifying Essential Genes

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

doi:10.1007/s11538-018-0526-z

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 journal › Article › peer-review

23 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 language	English
Pages (from-to)	3655-3673
Number of pages	19
Journal	Bulletin of Mathematical Biology
Volume	81
Issue number	9
DOIs	https://doi.org/10.1007/s11538-018-0526-z
State	Published - Sep 15 2019

Keywords

Betweenness centrality
Differential expression
Network complexity measure

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10.1007/s11538-018-0526-z

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title = "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.",

keywords = "Betweenness centrality, Differential expression, Network complexity measure",

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AU - Radunskaya, Ami

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AB - 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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KW - Differential expression

KW - Network complexity measure

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Variability of Betweenness Centrality and Its Effect on Identifying Essential Genes

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Keywords

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