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Dynamic Models in Biology /

From controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. Many universities are starting undergraduate programs in computational biology to introduce students to this rapidly growing field. In Dynamic Models in Bio...

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Detalles Bibliográficos
Autores principales: Ellner, Stephen P. (Autor), Guckenheimer, John (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton, NJ : Princeton University Press, [2011]
Temas:
Acceso en línea:Texto completo
Texto completo

MARC

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245 1 0 |a Dynamic Models in Biology /  |c John Guckenheimer, Stephen P. Ellner. 
264 1 |a Princeton, NJ :   |b Princeton University Press,   |c [2011] 
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300 |a 1 online resource (352 p.) :  |b 10 halftones. 90 line illus. 15 tables. 
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505 0 0 |t Frontmatter --   |t Contents --   |t List of Figures --   |t List of Tables --   |t Preface --   |t 1. What Are Dynamic Models? --   |t 2. Matrix Models and Structured Population Dynamics --   |t 3. Membrane Channels and Action Potentials --   |t 4. Cellular Dynamics: Pathways of Gene Expression --   |t 5. Dynamical Systems --   |t 6. Differential Equation Models for Infectious Disease --   |t 7. Spatial Patterns in Biology --   |t 8. Agent-Based and Other Computational Models for Complex Systems --   |t 9. Building Dynamic Models --   |t Index 
506 0 |a restricted access  |u http://purl.org/coar/access_right/c_16ec  |f online access with authorization  |2 star 
520 |a From controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. Many universities are starting undergraduate programs in computational biology to introduce students to this rapidly growing field. In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist Stephen Ellner and mathematician John Guckenheimer teach students how to understand, build, and use dynamic models in biology. Developed from a course taught by Ellner and Guckenheimer at Cornell University, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. The authors cover both simple analytic models--the sort usually found in mathematical biology texts--and the complex computational models now used by both biologists and mathematicians. Linked to a Web site with computer-lab materials and exercises, Dynamic Models in Biology is a major new introduction to dynamic models for students in the biological sciences, mathematics, and engineering. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) 
650 0 |a Biology - Mathematical models. 
650 0 |a Biology -- Mathematical models. 
650 0 |a Biology -- methods. 
650 0 |a Biology  |x Mathematical models. 
650 0 |a Computational Biology. 
650 0 |a Disease Transmission, Infectious -- statistics & numerical data. 
650 0 |a Models, Biological. 
650 0 |a Population Dynamics. 
650 7 |a SCIENCE / Life Sciences / Biology.  |2 bisacsh 
700 1 |a Guckenheimer, John,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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