Literature DB >> 30350013

Variability of Betweenness Centrality and Its Effect on Identifying Essential Genes.

Christina Durón1, Yuan Pan2, David H Gutmann3, Johanna Hardin4, Ami Radunskaya5.   

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.

Entities:  

Keywords:  Betweenness centrality; Differential expression; Network complexity measure

Year:  2018        PMID: 30350013      PMCID: PMC6476710          DOI: 10.1007/s11538-018-0526-z

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  33 in total

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2.  Lethality and centrality in protein networks.

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3.  Evidence for dynamically organized modularity in the yeast protein-protein interaction network.

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Journal:  J Neurosci       Date:  2005-11-02       Impact factor: 6.167

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Journal:  Cancer Res       Date:  2006-07-15       Impact factor: 12.701

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8.  Expression of SoxE and SoxD genes in human gliomas.

Authors:  B Schlierf; R P Friedrich; P Roerig; J Felsberg; G Reifenberger; M Wegner
Journal:  Neuropathol Appl Neurobiol       Date:  2007-10-24       Impact factor: 8.090

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Authors:  Biagio Azzarelli; Leticia Miravalle; Ruben Vidal
Journal:  J Neuropathol Exp Neurol       Date:  2004-02       Impact factor: 3.685

10.  ARACNE: an algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context.

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4.  What Can Mathematics Do for Drug Development?

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