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Cell Movement

Modeling and Applications

  • Magdalena Stolarska
  • Nicoleta Tarfulea

Table of contents

  1. Front Matter
    Pages i-xv
  2. Yangjin Kim, Wanho Lee, Hyejin Jeon, Sookkyung Lim, Soyeon Roh, Donggu Lee et al.
    Pages 27-60
  3. Clark Bowman, Karen Larson, Alexander Roitershtein, Derek Stein, Anastasios Matzavinos
    Pages 77-102
  4. Julie E. Simons, Sarah D. Olson
    Pages 169-209
  5. Danielle Holz, Laura M. McMillen, Gillian L. Ryan, Dimitrios Vavylonis
    Pages 211-258
  6. Ritvik Vasan, Matthew Akamatsu, Johannes Schöneberg, Padmini Rangamani
    Pages 259-301

About this book

Introduction

This book contains a collection of original research articles and review articles that describe novel mathematical modeling techniques and the application of those techniques to models of cell motility in a variety of contexts.  The aim is to highlight some of the recent mathematical work geared at understanding the coordination of intracellular processes involved in the movement of cells.  This collection will benefit researchers interested in cell motility as well graduate students taking a topics course in this area.   

Keywords

Bayesian Uncertainty Transitional Markov Chain Chemotaxis Direction Sensing Anisotropic Diffusion Solid Tumor Spread Actin Growth

Editors and affiliations

  • Magdalena Stolarska
    • 1
  • Nicoleta Tarfulea
    • 2
  1. 1.MathematicsUniversity of St. ThomasSaint PaulUSA
  2. 2.MathematicsPurdue University NorthwestHammondUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-96842-1
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Birkhäuser, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-96841-4
  • Online ISBN 978-3-319-96842-1
  • Series Print ISSN 2164-3679
  • Series Online ISSN 2164-3725
  • Buy this book on publisher's site