Fundamentals of digital image processing
Fundamentals of digital image processing
Journal of Computer and System Sciences
Membrane Computing: An Introduction
Membrane Computing: An Introduction
Applications of Membrane Computing (Natural Computing Series)
Applications of Membrane Computing (Natural Computing Series)
System Modeling in Cellular Biology: From Concepts to Nuts and Bolts
System Modeling in Cellular Biology: From Concepts to Nuts and Bolts
Discrete solutions to differential equations by metabolic P systems
Theoretical Computer Science
The metabolic algorithm for P systems: Principles and applications
Theoretical Computer Science
A photosynthetic process modelled by a metabolic P system
Natural Computing: an international journal
The Oxford Handbook of Membrane Computing
The Oxford Handbook of Membrane Computing
Hybrid Functional Petri Nets as MP systems
Natural Computing: an international journal
Deterministic and stochastic P systems for modelling cellular processes
Natural Computing: an international journal
Goldbeter's mitotic oscillator entirely modeled by MP systems
CMC'10 Proceedings of the 11th international conference on Membrane computing
Evolution and oscillation in p systems: applications to biological phenomena
WMC'04 Proceedings of the 5th international conference on Membrane Computing
WMC'09 Proceedings of the 10th international conference on Membrane Computing
Computing with multi-membranes
CMC'11 Proceedings of the 12th 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
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MP systems concepts will be revisited, in more general terms, by stressing their special role in solving dynamical inverse problems. Then, a main application of MP systems to Systems Biology will be outlined, which concerns gene expression in breast cancer (in cooperation with Karmanos Cancer Institute, Wayne State University, Detroit MI, USA). From recent experimental results developed at KCI, it follows that MP systems can provide "good" models of pathological phenomena, where good, in this case, means useful to oncologists. In fact, the MP systems methodology has identified previously unknown intermediaries in a breast cancer cell-specific signaling circuit. This could provide a significant contribution to the task of mapping complete oncogenic signaling networks to improve cancer treatments.