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Global information processing in gene networks: Fault tolerance

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationProceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, Bionetics 2007
Pages326-329
Number of pages4
DOIs
Publication statusPublished - 2007
Externally publishedYes
Publication typeA4 Article in a conference publication
Event2nd International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, BIONETICS 2007 - Budapest, Hungary
Duration: 10 Dec 200712 Dec 2007

Conference

Conference2nd International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, BIONETICS 2007
CountryHungary
CityBudapest
Period10/12/0712/12/07

Abstract

In this paper we study the fault tolerance of gene networks. We assume single gene knockouts and investigate the effect this kind of perturbation has on the communication between genes globally. For our study we use directed scale-free networks resembling gene networks, e.g., signaling or proteinprotein interaction networks, and define a Markov process based on the network topology to model communication. This allows us to evaluate the spread of information in the network and, hence, detect differences due to single gene knockouts in the gene-gene communication asymptotically.

Keywords

  • Gene networks, Information processing, Information theory, Robustness, Scale-free networks