Managing Complexity, Reducing Perplexity: Modeling Biological Systems

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Marcello Delitala, Giulia Ajmone Marsan
Springer, 04.06.2014 - 133 Seiten
”Managing Complexity, Reducing Perplexity” is devoted to an overview of the status of the art in the study of complex systems, with particular focus on the analysis of systems pertaining to living matter. Both senior scientists and young researchers from diverse and prestigious institutions with a deliberately interdisciplinary cut were invited, in order to compare approaches and problems from different disciplines. The common aim of the contributions was to analyze the complexity of living systems by means of new mathematical paradigms that are more adherent to reality and which are able to generate both exploratory and predictive models that are capable of achieving a deeper insight into life science phenomena.
 

Inhalt

1 Mathematical Ecology of Cancer
1
2 Quantitative Approaches to Heterogeneity and Growth Variability in Cell Populations
15
The Impact of Phenotypic Switching
28
From Signaling Pathway to Pattern Formation
37
5 Multiscale Analysis and Modelling for Cancer Growth and Development
45
6 A Nonlinear FluxLimited Model for the Transport of Morphogens
54
A Phenomenon Shared by All Domains of Life
65
8 Some Thoughts on the Ontogenesis in BCell Immune Networks
71
9 Mathematical Modeling of Cancer Cells Evolution Under Targeted Chemotherapies
80
10 Traveling Waves Emerging in a Diffusive Moving Filament System
91
A Mathematical Model Describing the Chemotactic Migration of Hematopoietic Stem Cells
100
A Useful Tool for the Artificial Pancreas
109
An Introduction
119
14 The Language of Systems Biology
130
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