國立高雄大學圖資館 |

Language: English

Back

Getting started in mathematical life sciencesfrom MATLAB programming to computer simulations /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Getting started in mathematical life sciencesby Makoto Sato.
Reminder of title:	from MATLAB programming to computer simulations /
Author:	Sato, Makoto.
Published:	Singapore :Springer Nature Singapore :2022.
Description:	ix, 204 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Biomathematics.
Online resource:	https://doi.org/10.1007/978-981-19-8257-6
ISBN:	9789811982576$q(electronic bk.)

Getting started in mathematical life sciencesfrom MATLAB programming to computer simulations /
Sato, Makoto.

Getting started in mathematical life sciencesfrom MATLAB programming to computer simulations /[electronic resource] :by Makoto Sato. - Singapore :Springer Nature Singapore :2022. - ix, 204 p. :ill., digital ;24 cm. - Theoretical biology,2522-0446. - Theoretical biology..

1. Preparation -- 2. Introduction to MATLAB programming -- 3. Simulating time variations in life phenomena -- 4. Simulating temporal and spatial changes in biological phenomena.

This 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.

ISBN: 9789811982576$q(electronic bk.)

Standard No.: 10.1007/978-981-19-8257-6doiSubjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

212374
Biomathematics.

LC Class. No.: QH323.5 / .S28 2022

Dewey Class. No.: 570.151

Getting started in mathematical life sciencesfrom MATLAB programming to computer simulations /
LDR:03256nmm a2200349 a 4500 001 634551
003 DE-He213
005 20230126170601.0
006 m d
007 cr nn 008maaau
008 230529s2022 si s 0 eng d
020 $a 9789811982576$q(electronic bk.)
020 $a 9789811982569$q(paper)
024 7 $a 10.1007/978-981-19-8257-6 $2 doi
035 $a 978-981-19-8257-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QH323.5 $b .S28 2022
072 7 $a PBW $2 bicssc
072 7 $a PSA $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PSAX $2 thema
082 0 4 $a 570.151 $2 23
090 $a QH323.5 $b .S253 2022
100 1 $a Sato, Makoto. $3 941005
245 1 0 $a Getting started in mathematical life sciences $h [electronic resource] : $b from MATLAB programming to computer simulations / $c by Makoto Sato.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a ix, 204 p. : $b ill., digital ; $c 24 cm.
490 1 $a Theoretical biology, $x 2522-0446
505 0 $a 1. Preparation -- 2. Introduction to MATLAB programming -- 3. Simulating time variations in life phenomena -- 4. Simulating temporal and spatial changes in biological phenomena.
520 $a This 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.
630 0 0 $a MATLAB. $3 181993
650 0 $a Biomathematics. $3 212374
650 0 $a Life sciences $x Computer simulation. $3 941006
650 0 $a Life sciences $x Mathematical models. $3 275707
650 1 4 $a Mathematical and Computational Biology. $3 514442
650 2 4 $a Mathematical Software. $3 279828
650 2 4 $a Numerical Analysis. $3 275681
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Theoretical biology. $3 795004
856 4 0 $u https://doi.org/10.1007/978-981-19-8257-6
950 $a Mathematics and Statistics (SpringerNature-11649)