- Biological examples motivate concepts and techniques used in computational cell biology through a progression of increasingly more complex cellular functions modelled with complex mathematical computational techniques. - A focused introduction that is aimed at advanced undergraduate and graduate biologists and who are mathematically minded and math students who wish to learn about modeling in cell biology.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This textbook provides an introduction to dynamic modeling in cell biology, emphasizing computational approaches based on realistic molecular mechanisms. It is designed to introduce cell biology and neuroscience students to computational modeling, and applied mathematics students, theoretical biologists, and engineers to many of the problems in dynamical cell biology. This volume was conceived of and begun by Professor Joel Keizer based on his many years of teaching and research together with his colleagues. The project was expanded and finished by his students and friends after his untimely death in 1999.
Carefully selected examples are used to motivate the concepts and techniques of computational cell biology, through a progression of increasingly more complex and demanding cases. Illustrative exercises are included with every chapter, and mathematical and computational appendices are provided for reference. This textbook will be useful for advanced undergraduate and graduate theoretical biologists, and for mathematic students and life scientists who wish to learn about modeling in cell biology.
"What better tribute to the late Joel Keizer than to expand his unfinished accounts of teaching and research to a splendid book. Computational Cell Biology performs much more than it promises, for it also deals with considerable analytical material and with aspects of molecular biology. There's something for everybody interested in how modeling leads to greater understanding in the core of the biological sciences."
-Lee Segel (Weizmann Institute)
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Black Cat Hill Books, Oregon City, OR, Etats-Unis
Hardcover. Etat : Very Good. First Edition; Fifth Printing. Very Good: mild nudges to the lower corner tips; rubbing and a bit of crimp to the heel of the backstrip; the faintest smudges to the fore-edge; mild rubbing the lamination of the panels; the binding is square and secure; the text is clean. Free of creased or dog-eared pages in the text. Free of any underlining, hi-lighting or marginalia or marks in the text. Free of ownership names, dates, addresses, notations, inscriptions, stamps, or labels. A carefully-used copy, tightly bound, showing only the noted imperfections. NOT a Remainder, Book-Club, or Ex-Library. 8vo (9.5 x 7.15 x 1.25 inches). Language: English. Weight: 33 ounces. Hardcover: Laminate Boards. An introduction to dynamical modeling in cell biology. It is not meant as a complete overview of modeling or of particular models in cell biology. Rather, we use selected biological examples to motivate the concepts and techniques used in computational cell biology. This is done through a progression of increasingly more complex cellular functions modeled with increasingly complex mathematical and c- putational techniques. ; Interdisciplinary Applied Mathematics: Mathematical Biology; Vol. 20; Large 8vo 9" - 10" tall; xx, 468 pages. N° de réf. du vendeur 59278
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Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Hardback. Etat : Good. This text is an introduction to dynamical modeling in cell biology. It is not meant as a complete overview of modeling or of particular models in cell biology. Rather, we use selected biological examples to motivate the concepts and techniques used in computational cell biology. This is done through a progression of increasingly more complex cellular functions modeled with increasingly complex mathematical and c- putational techniques. There are other excellent sources for material on mathematical cell biology, and so the focus here truly is computer modeling. This does not mean that there are no mathematical techniques introduced, because some of them are absolutely vital, but it does mean that much of the mathematics is explained in a more intuitive fashion, while we allow the computer to do most of the work. The target audience for this text is mathematically sophisticated cell biology or neuroscience students or mathematics students who wish to learn about modeling in cell biology. The ideal class would comprise both biology and applied math students, who might be encouraged to collaborate on exercises or class projects. We assume as little mathematical and biological background as we feel we can get away with, and we proceed fairly slowly. The techniques and approaches covered in the ?rst half of the book will form a basis for some elementary modeling or as a lead in to more advanced topics covered in the second half of the book. N° de réf. du vendeur 00101486520
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Vendeur : World of Books Inc, Montgomery, IL, Etats-Unis
Hardback. Etat : Good. This text is an introduction to dynamical modeling in cell biology. It is not meant as a complete overview of modeling or of particular models in cell biology. Rather, we use selected biological examples to motivate the concepts and techniques used in computational cell biology. This is done through a progression of increasingly more complex cellular functions modeled with increasingly complex mathematical and c- putational techniques. There are other excellent sources for material on mathematical cell biology, and so the focus here truly is computer modeling. This does not mean that there are no mathematical techniques introduced, because some of them are absolutely vital, but it does mean that much of the mathematics is explained in a more intuitive fashion, while we allow the computer to do most of the work. The target audience for this text is mathematically sophisticated cell biology or neuroscience students or mathematics students who wish to learn about modeling in cell biology. The ideal class would comprise both biology and applied math students, who might be encouraged to collaborate on exercises or class projects. We assume as little mathematical and biological background as we feel we can get away with, and we proceed fairly slowly. The techniques and approaches covered in the ?rst half of the book will form a basis for some elementary modeling or as a lead in to more advanced topics covered in the second half of the book. N° de réf. du vendeur CIN0387953698G
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Vendeur : Phatpocket Limited, Waltham Abbey, HERTS, Royaume-Uni
Etat : Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. N° de réf. du vendeur Z1-F-012-02409
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Vendeur : Hamelyn, Madrid, M, Espagne
Etat : Very Good. : Este libro de texto ofrece una introducción al modelado dinámico en biología celular molecular, adoptando un enfoque computacional e intuitivo. Incluye ilustraciones detalladas, ejemplos y ejercicios a lo largo del texto. Los apéndices contienen técnicas matemáticas y computacionales que se proporcionan como herramienta de referencia. El libro explora funciones celulares complejas modeladas con técnicas matemáticas y computacionales cada vez más complejas, dirigido a estudiantes de biología celular o neurociencia con conocimientos matemáticos, o estudiantes de matemáticas que deseen aprender sobre modelado en biología celular. EAN: 9780387953694 Tipo: Libros Categoría: Ciencias|Tecnología Título: Computational Cell Biology Autor: Christopher P. Fall| Eric S. Marland| John M. Wagner| John J. Tyson Editorial: Springer Idioma: en Páginas: 488 Formato: tapa dura. N° de réf. du vendeur Happ-2026-08-04-c2f71201
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook provides an introduction to dynamic modeling in molecular cell biology, taking a computational and intuitive approach. Detailed illustrations, examples, and exercises are included throughout the text. Appendices containing mathematical and computational techniques are provided as a reference tool. 492 pp. Englisch. N° de réf. du vendeur 9780387953694
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Vendeur : Books Puddle, Woodside, NY, Etats-Unis
Etat : New. pp. 492. N° de réf. du vendeur 26286809
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : New. N° de réf. du vendeur 672150-n
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. pp. 492 Illus. N° de réf. du vendeur 7593862
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Vendeur : moluna, Greven, Allemagne
Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. -Provides an introduction to dynamic modeling in molecular cell biology, taking a computational and intuitive approach-Chapter summaries, detailed illustrations, examples and exercises are included throughout-Written by a collection of specialists i. N° de réf. du vendeur 5912497
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