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Modeling Gene Networks using Fuzzy Logic

Authors: Artur Gintrowski

Published in: OASIcs, Volume 16, Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS'10) -- Selected Papers (2011)


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.

Cite as

Artur Gintrowski. Modeling Gene Networks using Fuzzy Logic. In Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS'10) -- Selected Papers. Open Access Series in Informatics (OASIcs), Volume 16, pp. 32-39, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)


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@InProceedings{gintrowski:OASIcs.MEMICS.2010.32,
  author =	{Gintrowski, Artur},
  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 =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-22-4},
  ISSN =	{2190-6807},
  year =	{2011},
  volume =	{16},
  editor =	{Matyska, Ludek and Kozubek, Michal and Vojnar, Tomas and Zemcik, Pavel and Antos, David},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.MEMICS.2010.32},
  URN =		{urn:nbn:de:0030-drops-30749},
  doi =		{10.4230/OASIcs.MEMICS.2010.32},
  annote =	{Keywords: Fuzzy network, gene expression, time optimization}
}
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