Modelling biological systems from molecules to dynamical networks. [PDF]
A report of the 5th IEEE International Conference on Systems Biology (IEEE ISB2011), 2-4 September 2011, Zhuhai, China.
Wang Y, Zhang XS, Chen L.
europepmc +4 more sources
High-performance analysis of biological systems dynamics with the DiVinE model checker [PDF]
The current interest in systems biology is to gain a better understanding of how the complex dynamic behaviour of the cell emerges from mutual interactions of molecular species.
Jǐŕı Barnat+2 more
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Hybrid modelling of biological systems: current progress and future prospects
Integrated modelling of biological systems is becoming a necessity for constructing models containing the major biochemical processes of such systems in order to obtain a holistic understanding of their dynamics and to elucidate emergent behaviours ...
Fei Liu, M. Heiner, D. Gilbert
semanticscholar +1 more source
Multi-scale analysis and modelling of collective migration in biological systems
Collective migration has become a paradigm for emergent behaviour in systems of moving and interacting individual units resulting in coherent motion. In biology, these units are cells or organisms.
A. Deutsch+3 more
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Modelling Biological Systems with Competitive Coherence
Many living systems, from cells to brains to governments, are controlled by the activity of a small subset of their constituents. It has been argued that coherence is of evolutionary advantage and that this active subset of constituents results from ...
V. Norris, M. Engel, M. Demarty
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The physics of higher-order interactions in complex systems [PDF]
Complex networks have become the main paradigm for modelling the dynamics of interacting systems. However, networks are intrinsically limited to describing pairwise interactions, whereas real-world systems are often characterized by higher-order ...
F. Battiston+13 more
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Observability and Structural Identifiability of Nonlinear Biological Systems [PDF]
Observability is a modelling property that describes the possibility of inferring the internal state of a system from observations of its output. A related property, structural identifiability, refers to the theoretical possibility of determining the ...
A. F. Villaverde
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deBInfer: Bayesian inference for dynamical models of biological systems in R [PDF]
Understanding the mechanisms underlying biological systems, and ultimately, predicting their behaviours in a changing environment, requires overcoming the gap between mathematical models and experimental or observational data. Differential equations (DEs)
Philipp H. Boersch-Supan, L. Johnson
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Coloured Petri nets for multilevel, multiscale and multidimensional modelling of biological systems
Owing to the availability of data of one biological phenomenon at different levels/scales, modelling of biological systems is moving from single level/scale to multiple levels/scales, which introduces a number of challenges.
Fei Liu, M. Heiner, D. Gilbert
semanticscholar +1 more source
Hybrid modelling of biological systems using fuzzy continuous Petri nets
Integrated modelling of biological systems is challenged by composing components with sufficient kinetic data and components with insufficient kinetic data or components built only using experts’ experience and knowledge.
Fei Liu+3 more
semanticscholar +1 more source