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Modeling Gene Networks using Fuzzy Logic

By Artur Gintrowski

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

Topics: Fuzzy network, gene expression, time optimization, Data processing Computer science
Publisher: OASIcs - OpenAccess Series in Informatics. Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS\u2710) -- Selected Papers
Year: 2011
DOI identifier: 10.4230/OASIcs.MEMICS.2010.32
OAI identifier: oai:drops-oai.dagstuhl.de:3074

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