Overview
- Covers both experimental results and mathematical models to analyze cellular dynamics
- Includes basic introductions in each chapter for non-experts in biology or mathematics
- Clear and concise structure that helps readers’ understanding
Part of the book series: Theoretical Biology (THBIO)
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Table of contents (5 chapters)
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Front Matter
Keywords
About this book
This book describes the dynamics of biological cells and their mathematical modeling. The topics cover the dynamics of RNA polymerases in transcription, construction of vascular networks in angiogenesis, and synchronization of cardiomyocytes. Statistical analysis of single cell dynamics and classification of proteins by mathematical modeling are also presented.
The book provides the most up-to-date information on both experimental results and mathematical models that can be used to analyze cellular dynamics. Novel experimental results and approaches to understand them will be appealing to the readers. Each chapter contains 1) an introductory description of the phenomenon, 2) explanations about the mathematical technique to analyze it, 3) new experimental results, 4) mathematical modeling and its application to the phenomenon. Elementary introductions for the biological phenomenon and mathematical approach to them are especially useful for beginners.
The importance of collaboration between mathematics and biological sciences has been increasing and providing new outcomes. This book gives good examples of the fruitful collaboration between mathematics and biological sciences.
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Mathematical Modeling for Genes to Collective Cell Dynamics
Editors: Tetsuji Tokihiro
Series Title: Theoretical Biology
DOI: https://doi.org/10.1007/978-981-16-7132-6
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-7131-9Published: 24 February 2022
Softcover ISBN: 978-981-16-7134-0Published: 25 February 2023
eBook ISBN: 978-981-16-7132-6Published: 23 February 2022
Series ISSN: 2522-0438
Series E-ISSN: 2522-0446
Edition Number: 1
Number of Pages: VII, 175
Number of Illustrations: 1 b/w illustrations
Topics: Cell Biology, Mathematical and Computational Biology, Bioinformatics, Computer Appl. in Life Sciences, Computational Biology/Bioinformatics, Systems Biology