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Mathematical modeling for genes to c...

Tokihiro, Tetsuji.

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Mathematical modeling for genes to collective cell dynamics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mathematical modeling for genes to collective cell dynamics/ edited by Tetsuji Tokihiro.
其他作者:	Tokihiro, Tetsuji.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	1 online resource (vii, 175 p.) :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Cells - Mathematical models. -
電子資源:	https://doi.org/10.1007/978-981-16-7132-6
ISBN:	9789811671326

Mathematical modeling for genes to collective cell dynamics
Mathematical modeling for genes to collective cell dynamics[electronic resource] /edited by Tetsuji Tokihiro. - Singapore :Springer Singapore :2021. - 1 online resource (vii, 175 p.) :ill., digital ;24 cm. - Theoretical biology,2522-0446. - Theoretical biology..

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.

ISBN: 9789811671326

Standard No.: 10.1007/978-981-16-7132-6doiSubjects--Topical Terms:

1639475
Cells
--Mathematical models.

LC Class. No.: QH581.2 / M37 2021

Dewey Class. No.: 571.6015118

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520 $a 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.
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