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Managing Complexity, Reducing Perplexity

Modeling Biological Systems

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Marcello Delitala

    1. Department of Mathematical Sciences, Politecnico di Torino, Torino, Italy

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    You can also search for this editor in PubMed   Google Scholar

  2. Giulia Ajmone Marsan

    1. OECD, Paris, France

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 67)

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Table of contents (14 papers)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Mathematical Ecology of Cancer

    • Thomas Hillen, Mark A. Lewis
    Pages 1-13

  3. Quantitative Approaches to Heterogeneity and Growth Variability in Cell Populations

    • Priscilla Macansantos, Vito Quaranta
    Pages 15-27

  4. A Stochastic Model of Glioblastoma Invasion: The Impact of Phenotypic Switching

    • Philip Gerlee, Sven Nelander
    Pages 29-35

  5. A Hybrid Model for E. coli Chemotaxis: From Signaling Pathway to Pattern Formation

    • Franziska Matthäus
    Pages 37-44

  6. Multiscale Analysis and Modelling for Cancer Growth and Development

    • Dumitru Trucu, Mark A. J. Chaplain
    Pages 45-53

  7. A Non-linear Flux-Limited Model for the Transport of Morphogens

    • J. Calvo, J. Soler, M. Verbeni
    Pages 55-63

  8. Glycosylation: A Phenomenon Shared by All Domains of Life

    • Anne Dell, Federico Sastre
    Pages 65-70

  9. Some Thoughts on the Ontogenesis in B-Cell Immune Networks

    • Elena Agliari, Adriano Barra, Silvio Franz, Thiago Pentado-Sabetta
    Pages 71-79

  10. Mathematical Modeling of Cancer Cells Evolution Under Targeted Chemotherapies

    • Marcello Delitala, Tommaso Lorenzi
    Pages 81-89

  11. Traveling Waves Emerging in a Diffusive Moving Filament System

    • Heinrich Freistühler, Jan Fuhrmann, Angela Stevens
    Pages 91-99

  12. Homing to the Niche: A Mathematical Model Describing the Chemotactic Migration of Hematopoietic Stem Cells

    • Maria Neuss-Radu
    Pages 101-108

  13. DDE Models of the Glucose-Insulin System: A Useful Tool for the Artificial Pancreas

    • Jude D. Kong, Sreedhar S. Kumar, Pasquale Palumbo
    Pages 109-117

  14. Physics and Complexity: An Introduction

    • David Sherrington
    Pages 119-129

  15. The Language of Systems Biology

    • Marcello Delitala, Thomas Hillen
    Pages 131-133
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About this book

”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.

Editors and Affiliations

  • Department of Mathematical Sciences, Politecnico di Torino, Torino, Italy

    Marcello Delitala

  • OECD, Paris, France

    Giulia Ajmone Marsan

Bibliographic Information

  • Book Title: Managing Complexity, Reducing Perplexity

  • Book Subtitle: Modeling Biological Systems

  • Editors: Marcello Delitala, Giulia Ajmone Marsan

  • Series Title: Springer Proceedings in Mathematics & Statistics

  • DOI: https://doi.org/10.1007/978-3-319-03759-2

  • Publisher: Springer Cham

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Hardcover ISBN: 978-3-319-03758-5Published: 25 June 2014

  • Softcover ISBN: 978-3-319-35200-8Published: 17 September 2016

  • eBook ISBN: 978-3-319-03759-2Published: 04 June 2014

  • Series ISSN: 2194-1009

  • Series E-ISSN: 2194-1017

  • Edition Number: 1

  • Number of Pages: XVIII, 133

  • Number of Illustrations: 14 b/w illustrations, 19 illustrations in colour

  • Topics: Mathematical and Computational Biology

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