Sinopsis
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.
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De la contraportada
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)
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Computational Cell Biology (Interdisciplinary Applied Mathematics, 20)
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Computational Cell Biology
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Computational Cell Biology (Interdisciplinary Applied Mathematics, 20)
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Computational Cell Biology
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Springer New York, 2002
ISBN 10: 0387953698
ISBN 13: 9780387953694
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Computational Cell Biology
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Springer- Science and Business Media, New York, NY, 2002
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ISBN 13: 9780387953694
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Hardcover. Condición: 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. Nº de ref. del artículo: 59278
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Computational Cell Biology (Interdisciplinary Applied Mathematics, 20)
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