An Analysis of Correlative and Static Causality in P Systems
In this paper we present two approaches, namely correlative and static causality, to study cause-effect relationships in reaction models and we propose a framework which integrates them in order to study causality by means of transition P systems. The proposed framework is based on the fact that statistical analysis can be used to building up a membrane model which can be used to analyze causality relationships in terms of multisets of objects and rules in presence of non-determinism and parallelism. We prove that the P system which is defined by means of correlation analysis provides a correspondence between the static and correlative notions of causality.
KeywordsMembrane System Static Causality Cascade Model Cdc2 Kinase Membrane Computing
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- 10.Junker, B.H., Schreiber, F.: Analysis of Biological Networks (Wiley Series in Bioinformatics). Wiley-Interscience (2008)Google Scholar
- 12.Manca, V.: Fundamentals of Metabolic P Systems. In: Păun, G., Rozenberg, G., Salomaa, A. (eds.) Handbook of Membrane Computing. Oxford University Press (2009)Google Scholar
- 13.Muirhead, R.J.: Aspects of Multivariate Statistical Theory. Wiley-Interscience (2005)Google Scholar
- 14.Pagliarini, R.: Modelling and Reverse-Engineering of Biological Phenomena by means of Metabolic P Systems. PhD thesis, University of Verona, Italy (2011)Google Scholar
- 16.Pyle, D.: Data Preparation for Data Mining (The Morgan Kaufmann Series in Data Management Systems). Morgan Kaufmann (1999)Google Scholar