Microarrays for an Integrative Genomics
Microarrays for an Integrative Genomics
Membrane Computing: An Introduction
Membrane Computing: An Introduction
The Oxford Handbook of Membrane Computing
The Oxford Handbook of Membrane Computing
Goldbeter's mitotic oscillator entirely modeled by MP systems
CMC'10 Proceedings of the 11th international conference on Membrane computing
Data analysis pipeline from laboratory to MP models
Natural Computing: an international journal
Towards an evolutionary procedure for reverse-engineering biological networks
ICARIS'12 Proceedings of the 11th international conference on Artificial Immune Systems
An outline of MP modeling framework
CMC'12 Proceedings of the 13th international conference on Membrane Computing
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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.