Computational Cell Biology
. Ed(s): Fall, Christopher; Marland, Eric S.; Wagner, John M.; Tyson, John J.
ISBN 10: 0387953698 ISBN 13: 9780387953694
Verlag: Springer-Verlag New York Inc., 2002
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Beschreibung
Beschreibung:
Presents an introduction to dynamic modeling in molecular cell biology, taking a computational and intuitive approach. This textbook includes illustrations, examples, and exercises. It provides appendices containing mathematical and computational techniques as a reference tool. Editor(s): Fall, Christopher; Marland, Eric S.; Wagner, John M.; Tyson, John J. Series: Interdisciplinary Applied Mathematics. Num Pages: 488 pages, 19 black & white tables, biography. BIC Classification: PDE; PSF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 241 x 166 x 33. Weight in Grams: 862. . 2005. 1st ed 2002. Corr. 3rd printing 2005. Hardback. . . . . Books ship from the US and Ireland. Bestandsnummer des Verkäufers V9780387953694
Inhaltsangabe:
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.
Von der hinteren Coverseite:
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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Bibliografische Details
Titel: Computational Cell Biology
Verlag: Springer-Verlag New York Inc.
Erscheinungsdatum: 2002
Einband: Hardcover
Zustand: New
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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 New York, Springer New York Jul 2002, 2002
ISBN 10: 0387953698
ISBN 13: 9780387953694
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Buch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 492 pp. Englisch. Artikel-Nr. 9780387953694
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Computational Cell Biology: 20 (Interdisciplinary Applied Mathematics, 20)
ISBN 10: 0387953698
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Paperback. Zustand: Fine. 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. Artikel-Nr. GOR014647182
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Computational Cell Biology
Verlag:
Springer New York, Springer New York, 2002
ISBN 10: 0387953698
ISBN 13: 9780387953694
Neu
Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9780387953694
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Computational Cell Biology
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Zustand: New. pp. 492 Illus. Artikel-Nr. 7593862
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