國立虎尾科技大學 |

Mathematical Modeling for Genes to Collective Cell Dynamics

紀錄類型:	書目-語言資料,印刷品 : 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.
面頁冊數:	VII, 175 p. 1 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational and Systems Biology. -
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. - 1st ed. 2021. - VII, 175 p. 1 illus.online resource. - 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:

1365723
Computational and Systems Biology.

LC Class. No.: QH573-671

Dewey Class. No.: 571.6

Mathematical Modeling for Genes to Collective Cell Dynamics
LDR:02992nam a22004095i 4500 001 1059960
003 DE-He213
005 20220223170253.0
007 cr nn 008mamaa
008 220414s2021 si | s |||| 0|eng d
020 $a 9789811671326 $9 978-981-16-7132-6
024 7 $a 10.1007/978-981-16-7132-6 $2 doi
035 $a 978-981-16-7132-6
050 4 $a QH573-671
072 7 $a PSF $2 bicssc
072 7 $a SCI049000 $2 bisacsh
072 7 $a PSF $2 thema
082 0 4 $a 571.6 $2 23
245 1 0 $a Mathematical Modeling for Genes to Collective Cell Dynamics $h [electronic resource] / $c edited by Tetsuji Tokihiro.
250 $a 1st ed. 2021.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a VII, 175 p. 1 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Theoretical Biology, $x 2522-0446
505 0 $a 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. .
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.
650 2 4 $a Computational and Systems Biology. $3 1365723
650 2 4 $a Mathematical and Computational Biology. $3 786706
650 1 4 $a Cell Biology. $3 593889
650 0 $a Biophysics. $3 581576
650 0 $a Bioinformatics. $3 583857
650 0 $a Biomathematics. $3 527725
650 0 $a Cytology. $3 599554
700 1 $a Tokihiro, Tetsuji. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1366922
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811671319
776 0 8 $i Printed edition: $z 9789811671333
776 0 8 $i Printed edition: $z 9789811671340
830 0 $a Theoretical Biology, $x 2522-0438 $3 1301187
856 4 0 $u https://doi.org/10.1007/978-981-16-7132-6
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)