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Description
  • We propose a new methodology for identification and analysis of discrete gene networks as defined by René Thomas, supported by a tool chain: (i) given a Thomas network with partially known kinetic parameters, we reduce the number of acceptable parametrizations to those that fit time-series measurements and reflect other known constraints by an improved technique of coloured LTL model checking performing efficiently on Thomas networks in distributed environment; (ii) we introduce classification of acceptable parametrizations to identify most optimal ones; (iii) we propose two ways of visualising parametrizations dynamics wrt time-series data. Finally, computational efficiency is evaluated and the methodology is validated on bacteriophage \lambda case study.
  • We propose a new methodology for identification and analysis of discrete gene networks as defined by René Thomas, supported by a tool chain: (i) given a Thomas network with partially known kinetic parameters, we reduce the number of acceptable parametrizations to those that fit time-series measurements and reflect other known constraints by an improved technique of coloured LTL model checking performing efficiently on Thomas networks in distributed environment; (ii) we introduce classification of acceptable parametrizations to identify most optimal ones; (iii) we propose two ways of visualising parametrizations dynamics wrt time-series data. Finally, computational efficiency is evaluated and the methodology is validated on bacteriophage \lambda case study. (en)
Title
  • Parameter Identification and Model Ranking of Thomas Networks
  • Parameter Identification and Model Ranking of Thomas Networks (en)
skos:prefLabel
  • Parameter Identification and Model Ranking of Thomas Networks
  • Parameter Identification and Model Ranking of Thomas Networks (en)
skos:notation
  • RIV/00216224:14330/12:00057781!RIV13-GA0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP202/11/0312), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
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  • 157779
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  • RIV/00216224:14330/12:00057781
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Thomas network; parameter identification; model checking (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7EB4236EA5AF]
http://linked.open...v/mistoKonaniAkce
  • London
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Computational Methods in Systems Biology: 10th International Conference, CMSB 2012, London, UK, October 3-5, 2012. Proceedings
http://linked.open...in/vavai/riv/obor
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  • Šafránek, David
  • Klarner, Hannes
  • Kolčák, Juraj
  • Siebert, Heike
  • Streck, Adam
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-33636-2_13
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  • Springer-Verlag
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  • 9783642336355
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  • 14330
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