LEADER 03962nam  2200565   450 
001 996508570603316
005 20231005193031.0
010   $a9789811982576$b(electronic bk.)
010   $z9789811982569
024 7 $a10.1007/978-981-19-8257-6
035   $a(MiAaPQ)EBC7187132
035   $a(Au-PeEL)EBL7187132
035   $a(CKB)26069049000041
035   $a(DE-He213)978-981-19-8257-6
035   $a(PPN)267809794
035   $a(EXLCZ)9926069049000041
100   $a20230430d2022      uy             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aGetting started in mathematical life sciences $efrom MATLAB programming to computer simulations /$fMakoto Sato
205   $a1st ed. 2022.
210  1$aSingapore :$cSpringer,$d[2022]
210  4$dŠ2022
215   $a1 online resource (211 pages)
225 1 $aTheoretical Biology,$x2522-0446
311 08$aPrint version: Sato, Makoto Getting Started in Mathematical Life Sciences Singapore : Springer,c2023 9789811982569 
320   $aIncludes bibliographical references and index.
327   $a1. Preparation -- 2. Introduction to MATLAB programming  -- 3. Simulating time variations in life phenomena -- 4. Simulating temporal and spatial changes in biological phenomena.
330   $aThis book helps the reader make use of the mathematical models of biological phenomena starting from the basics of programming and computer simulation. Computer simulations based on a mathematical model enable us to find a novel biological mechanism and predict an unknown biological phenomenon. Mathematical biology could further expand the progress of modern life sciences. Although many biologists are interested in mathematical biology, they do not have experience in mathematics and computer science. An educational course that combines biology, mathematics, and computer science is very rare to date. Published books for mathematical biology usually explain the theories of established mathematical models, but they do not provide a practical explanation for how to solve the differential equations included in the models, or to establish such a model that fits with a phenomenon of interest. MATLAB is an ideal programming platform for the beginners of computer science. This book starts from the very basics about how to write a programming code for MATLAB (or Octave), explains how to solve ordinary and partial differential equations, and how to apply mathematical models to various biological phenomena such as diabetes, infectious diseases, and heartbeats. Some of them are original models, newly developed for this book. Because MATLAB codes are embedded and explained throughout the book, it will be easy to catch up with the text. In the final chapter, the book focuses on the mathematical model of the proneural wave, a phenomenon that guarantees the sequential differentiation of neurons in the brain. This model was published as a paper from the author?s lab (Sato et al., PNAS 113, E5153, 2016), and was intensively explained in the book chapter ?Notch Signaling in Embryology and Cancer?, published by Springer in 2020. This book provides the reader who has a biological background with invaluable opportunities to learn and practice mathematical biology.
410  0$aTheoretical Biology,$x2522-0446
606   $aMathematics
606   $aBiomatemātica$2thub
606   $aSimulaciķ per ordinador$2thub
606   $aModels matemātics$2thub
608   $aLlibres electrōnics$2thub
615  0$aMathematics.
615  7$aBiomatemātica
615  7$aSimulaciķ per ordinador
615  7$aModels matemātics
676   $a780
700   $aSato?$b Makoto$01275242
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a996508570603316
996   $aGetting Started in Mathematical Life Sciences$93004747
997   $aUNISA