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Titel:Mathematical Modeling for Genes to Collective Cell Dynamics
Mitwirkende:Tokihiro, Tetsuji [HerausgeberIn]   i
Verf.angabe:edited by Tetsuji Tokihiro
Ausgabe:1st ed. 2021.
Verlagsort:Singapore
 Singapore
Verlag:Springer Singapore
 Imprint: Springer
E-Jahr:2021
Jahr:2021.
 2021.
Umfang:1 Online-Ressource(VII, 175 p. 1 illus.)
Gesamttitel/Reihe:Theoretical Biology
 Springer eBook Collection
ISBN:9789811671326
Abstract:Chapter 1) Transcription Dynamics: Cellular Automaton Model of Polymerase Dynamics for Eukaryotes -- Chapter 2) Angiogenesis: Dynamics of Endothelial Cells in Sprouting and Bifurcation -- Chapter 3) Synchronization and Fluctuation of Cardiac Muscle Cells -- Chapter 4) Statistical Analysis of Cellular Directional Movement: Application for Research of Single Cell Movement -- Chapter 5) Protein Structures. .
 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.
DOI:doi:10.1007/978-981-16-7132-6
URL:Resolving-System: https://doi.org/10.1007/978-981-16-7132-6
 DOI: https://doi.org/10.1007/978-981-16-7132-6
Datenträger:Online-Ressource
Sprache:eng
Bibliogr. Hinweis:Erscheint auch als : Druck-Ausgabe
 Erscheint auch als : Druck-Ausgabe
 Erscheint auch als : Druck-Ausgabe
K10plus-PPN:1794150854
 
 
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