Managing Complexity, Reducing Perplexity Modeling Biological Systems için kapak resmi
Managing Complexity, Reducing Perplexity Modeling Biological Systems
Standart Tanımlama:
Yayın Bilgileri:
Cham : Springer International Publishing : Imprint: Springer, 2014.
Fiziksel Tanımlama:
XVIII, 133 p. 33 illus., 19 illus. in color. online resource.
Springer Proceedings in Mathematics & Statistics, 67
Mathematical Ecology of Cancer. T.Hillen and M.A. Lewis -- Quantitative Approaches to Heterogeneity and Growth Variability in Cell Populations. P. Macansantos and V. Quaranta -- A Stochastic Model of Glioblastoma Invasion: the Impact of Phenotypic Switching. P.Gerlee and S.Nelander -- A Hybrid Model for E. Coli Chemotaxis: from Signaling Pathway to Pattern Formation. F.Matthäus -- Multiscale Analysis and Modelling for Cancer Growth and Development. D. Trucu and M.A. J. Chaplain -- A Non-linear Flux-limited Model for the Transport of Morphogens. Glycosylation: a Phenomenon Shared by all Domains of Life. A. Dell and F. Sastre -- Some Thoughts on the Ontogenesis in B-cell Immune Networks. E. Agliari, A. Barra, S. Franz, T.Pentado-Sabetta -- Mathematical Modeling of Cancer Cells Evolution Under Targeted Chemotherapies. M.Delitala and T.Lorenzi -- Traveling Waves Emerging in a Diffusive Moving Filament System. H. Freistühler, J. Fuhrmann and A. Stevens -- Homing to the Niche: a Mathematical Model Describing the Chemotactic Migration of Hematopoietic Stem Cells. M. Neuss-Radu -- DDE Models of the Glucose-insulin System: a Useful Tool for the Artificial Pancreas. J.D. Kong, Sr.S. Kumar, P.Palumbo -- Physics and Complexity: an Introduction. D. Sherrington -- The Language of Systems Biology. M. Delitala and T. Hillen.
This book 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 is 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.


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