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A Methodology Based on MP Theory for Gene Expression Analysis

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Membrane Computing (CMC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7184))

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Abstract

In this paper we develop an application of the MP theory to gene expression analysis. After introducing some general concepts about transcriptome analysis and about gene networks, we delineate a methodology for modelling such kind of networks by means of Metabolic P systems. MP systems were initially introduced as models of metabolic processes, but they can be successfully used in each context where we want to infer models of a system from a given set of time series. In the case of gene expression analysis, we found a standard way for translating MP grammars involving gene expressions into corresponding quantitative gene networks. Pre-processing methods of raw time series have been also elaborated in order to achieve a successful MP modelling of the underlying gene network.

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Marchetti, L., Manca, V. (2012). A Methodology Based on MP Theory for Gene Expression Analysis. In: Gheorghe, M., Păun, G., Rozenberg, G., Salomaa, A., Verlan, S. (eds) Membrane Computing. CMC 2011. Lecture Notes in Computer Science, vol 7184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28024-5_20

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  • DOI: https://doi.org/10.1007/978-3-642-28024-5_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28023-8

  • Online ISBN: 978-3-642-28024-5

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