001441902 000__ 03469cam\a2200505\a\4500
001441902 001__ 1441902
001441902 003__ OCoLC
001441902 005__ 20230309003348.0
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001441902 019__ $$a1301452188$$a1301483946$$a1301771403$$a1301905975$$a1301947163$$a1302004079
001441902 020__ $$a9789811671326$$q(electronic bk.)
001441902 020__ $$a981167132X$$q(electronic bk.)
001441902 020__ $$z9811671311
001441902 020__ $$z9789811671319
001441902 0247_ $$a10.1007/978-981-16-7132-6$$2doi
001441902 035__ $$aSP(OCoLC)1302008783
001441902 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dYDX$$dGW5XE$$dOCLCO$$dOCLCQ
001441902 049__ $$aISEA
001441902 050_4 $$aQH581.2
001441902 08204 $$a571.6015118
001441902 24500 $$aMathematical modeling for genes to collective cell dynamics /$$cTetsuji Tokihiro, editor.
001441902 260__ $$aSingapore :$$bSpringer,$$c2021.
001441902 300__ $$a1 online resource (179 pages)
001441902 336__ $$atext$$btxt$$2rdacontent
001441902 337__ $$acomputer$$bc$$2rdamedia
001441902 338__ $$aonline resource$$bcr$$2rdacarrier
001441902 4901_ $$aTheoretical biology
001441902 5050_ $$aChapter 1) Transcription Dynamics: Cellular Automaton Model of Polymerase Dynamics for Eukaryotes -- Chapter 2) Angiogenesis: Dynamics of Endothelial Cells in Sprouting and Bifurcation -- Chapter 3) Synchronization and Fluctuation of Cardiac Muscle Cells -- Chapter 4) Statistical Analysis of Cellular Directional Movement: Application for Research of Single Cell Movement -- Chapter 5) Protein Structures.
001441902 506__ $$aAccess limited to authorized users.
001441902 520__ $$aThis book describes the dynamics of biological cells and their mathematical modeling. The topics cover the dynamics of RNA polymerases in transcription, construction of vascular networks in angiogenesis, and synchronization of cardiomyocytes. Statistical analysis of single cell dynamics and classification of proteins by mathematical modeling are also presented. The book provides the most up-to-date information on both experimental results and mathematical models that can be used to analyze cellular dynamics. Novel experimental results and approaches to understand them will be appealing to the readers. Each chapter contains 1) an introductory description of the phenomenon, 2) explanations about the mathematical technique to analyze it, 3) new experimental results, 4) mathematical modeling and its application to the phenomenon. Elementary introductions for the biological phenomenon and mathematical approach to them are especially useful for beginners. The importance of collaboration between mathematics and biological sciences has been increasing and providing new outcomes. This book gives good examples of the fruitful collaboration between mathematics and biological sciences.
001441902 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 10, 2022).
001441902 650_0 $$aCells$$xMathematical models.
001441902 650_6 $$aCellules$$xModèles mathématiques.
001441902 655_0 $$aElectronic books.
001441902 7001_ $$aTokihiro, Tetsuji,$$eeditor.
001441902 77608 $$iPrint version:$$aTokihiro, Tetsuji.$$tMathematical Modeling for Genes to Collective Cell Dynamics.$$dSingapore : Springer Singapore Pte. Limited, ©2022$$z9789811671319
001441902 830_0 $$aTheoretical biology (Singapore)
001441902 852__ $$bebk
001441902 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-7132-6$$zOnline Access$$91397441.1
001441902 909CO $$ooai:library.usi.edu:1441902$$pGLOBAL_SET
001441902 980__ $$aBIB
001441902 980__ $$aEBOOK
001441902 982__ $$aEbook
001441902 983__ $$aOnline
001441902 994__ $$a92$$bISE