Global information processing in gene networks: Fault tolerance

Frank Emmert-Streib; Matthias Dehmer

doi:10.1109/BIMNICS.2007.4610138

Global information processing in gene networks: Fault tolerance

Frank Emmert-Streib^*
, Matthias Dehmer

^*Corresponding author for this work

Stowers Institute for Medical Research
University of Washington
TU Wien

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, Bionetics 2007
Pages	326-329
Number of pages	4
DOIs	https://doi.org/10.1109/BIMNICS.2007.4610138
Publication status	Published - 12 Dec 2007
Externally published	Yes
Event	2nd International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, BIONETICS 2007 - Budapest, Hungary Duration: 10 Dec 2007 → 12 Dec 2007

Publication series

Name	Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, Bionetics 2007

Conference

Conference	2nd International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, BIONETICS 2007
Country/Territory	Hungary
City	Budapest
Period	10/12/07 → 12/12/07

Keywords

Gene networks
Information processing
Information theory
Robustness
Scale-free networks

Access to Document

10.1109/BIMNICS.2007.4610138

Cite this

Emmert-Streib, F., & Dehmer, M. (2007). Global information processing in gene networks: Fault tolerance. In Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, Bionetics 2007 (pp. 326-329). Article 4610138 (Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, Bionetics 2007). https://doi.org/10.1109/BIMNICS.2007.4610138

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title = "Global information processing in gene networks: Fault tolerance",

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",

author = "Frank Emmert-Streib and Matthias Dehmer",

year = "2007",

month = dec,

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doi = "10.1109/BIMNICS.2007.4610138",

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series = "Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, Bionetics 2007",

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booktitle = "Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, Bionetics 2007",

note = "2nd International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, BIONETICS 2007 ; Conference date: 10-12-2007 Through 12-12-2007",

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Emmert-Streib, F & Dehmer, M 2007, Global information processing in gene networks: Fault tolerance. in Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, Bionetics 2007., 4610138, Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, Bionetics 2007, pp. 326-329, 2nd International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, BIONETICS 2007, Budapest, Hungary, 10/12/07. https://doi.org/10.1109/BIMNICS.2007.4610138

Global information processing in gene networks: Fault tolerance. / Emmert-Streib, Frank; Dehmer, Matthias.
Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, Bionetics 2007. 2007. p. 326-329 4610138 (Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, Bionetics 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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.

AB - 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.

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KW - Information processing

KW - Information theory

KW - Robustness

KW - Scale-free networks

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BT - Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, Bionetics 2007

Y2 - 10 December 2007 through 12 December 2007

ER -

Global information processing in gene networks: Fault tolerance

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