Data preparation for data mining
Data preparation for data mining
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Membrane Computing: An Introduction
Membrane Computing: An Introduction
An introduction to variable and feature selection
The Journal of Machine Learning Research
Mlps (mono layer polynomials and multi layer perceptrons) for nonlinear modeling
The Journal of Machine Learning Research
Feature extraction by non parametric mutual information maximization
The Journal of Machine Learning Research
The metabolic algorithm for P systems: Principles and applications
Theoretical Computer Science
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning
Learning regulation functions of metabolic systems by artificial neural networks
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
A photosynthetic process modelled by a metabolic P system
Natural Computing: an international journal
Evolution and oscillation in p systems: applications to biological phenomena
WMC'04 Proceedings of the 5th international conference on Membrane Computing
Regulation and covering problems in MP systems
WMC'09 Proceedings of the 10th international conference on Membrane Computing
A methodology based on MP theory for gene expression analysis
CMC'11 Proceedings of the 12th international conference on Membrane Computing
A genetic approach for synthesizing metabolic models from time series
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Towards an evolutionary procedure for reverse-engineering biological networks
ICARIS'12 Proceedings of the 11th international conference on Artificial Immune Systems
An analysis of correlative and static causality in p systems
CMC'12 Proceedings of the 13th international conference on Membrane Computing
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A workflow for data analysis is introduced to synthesize flux regulation maps of a Metabolic P system from time series of data observed in laboratory. The procedure is successfully tested on a significant case study, the photosynthetic phenomenon called NPQ, which determines plant accommodation to environmental light. A previously introduced MP model of such a photosynthetic process has been improved, by providing an MP system with a simpler regulative network that reproduces the observed behaviors of the natural system. Two regression techniques were employed to find out the regulation maps, and interesting experimental results came out in the context of their residual analysis for model validation.