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URN: urn:nbn:de:0030-drops-30749
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Modeling Gene Networks using Fuzzy Logic

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Abstract

Recently, almost uncontrolled technological progress allows so called high-throughput data collection for sophisticated and complex experimental biological systems analysis. Especially, it concerns the whole cellular genome. Therefore it becomes more and more vital to suggest and elaborate gene network models, which can be used for more complete interpretation of large and complex data sets. The presented paper concerns modeling of interactions in yeast genome. With the reference to previously published papers concerning the same subject, our paper presents a significant improvement in calculation procedure leading to very effective reduction of time of calculation.

BibTeX - Entry

@InProceedings{gintrowski:OASIcs:2011:3074,
  author =	{Artur Gintrowski},
  title =	{{Modeling Gene Networks using Fuzzy Logic}},
  booktitle =	{Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS'10) -- Selected Papers},
  pages =	{32--39},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-22-4},
  ISSN =	{2190-6807},
  year =	{2011},
  volume =	{16},
  editor =	{Ludek Matyska and Michal Kozubek and Tom{\'a}{\v{s}} Vojnar and Pavel Zemc{\'i}k and David Antos},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2011/3074},
  URN =		{urn:nbn:de:0030-drops-30749},
  doi =		{http://dx.doi.org/10.4230/OASIcs.MEMICS.2010.32},
  annote =	{Keywords: Fuzzy network, gene expression, time optimization}
}

Keywords: Fuzzy network, gene expression, time optimization
Seminar: Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS'10) -- Selected Papers
Issue date: 2011
Date of publication: 2011


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