Lingua: Inglese
Editore: Cambridge University Press, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
Da: Basi6 International, Irving, TX, U.S.A.
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Lingua: Inglese
Editore: Cambridge University Press CUP, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. xix + 278 1st Published.
Lingua: Inglese
Editore: Cambridge University Press, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
Da: Majestic Books, Hounslow, Regno Unito
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Aggiungi al carrelloCondizione: New. pp. xix + 278 55 Illus.
Lingua: Inglese
Editore: Cambridge University Press, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
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Aggiungi al carrelloCondizione: New. pp. xix + 278.
Lingua: Inglese
Editore: Cambridge University Press, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
Da: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
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Hardcover. Condizione: new. Hardcover. Mathematical modeling, analysis and simulation are set to play crucial roles in explaining tumor behavior, and the uncontrolled growth of cancer cells over multiple time and spatial scales. This book, the first to integrate state-of-the-art numerical techniques with experimental data, provides an in-depth assessment of tumor cell modeling at multiple scales. The first part of the text presents a detailed biological background with an examination of single-phase and multi-phase continuum tumor modeling, discrete cell modeling, and hybrid continuum-discrete modeling. In the final two chapters, the authors guide the reader through problem-based illustrations and case studies of brain and breast cancer, to demonstrate the future potential of modeling in cancer research. This book has wide interdisciplinary appeal and is a valuable resource for mathematical biologists, biomedical engineers and clinical cancer research communities wishing to understand this emerging field. Uniquely connecting theory with experimental data, this book highlights the potential of advanced computational methods in cancer research. Beginning with a biological background, the reader is introduced to the principles of mathematical modeling, before being guided through case studies that demonstrate how modeling can aid our understanding of tumour biology. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 204,93
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
Da: CitiRetail, Stevenage, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Mathematical modeling, analysis and simulation are set to play crucial roles in explaining tumor behavior, and the uncontrolled growth of cancer cells over multiple time and spatial scales. This book, the first to integrate state-of-the-art numerical techniques with experimental data, provides an in-depth assessment of tumor cell modeling at multiple scales. The first part of the text presents a detailed biological background with an examination of single-phase and multi-phase continuum tumor modeling, discrete cell modeling, and hybrid continuum-discrete modeling. In the final two chapters, the authors guide the reader through problem-based illustrations and case studies of brain and breast cancer, to demonstrate the future potential of modeling in cancer research. This book has wide interdisciplinary appeal and is a valuable resource for mathematical biologists, biomedical engineers and clinical cancer research communities wishing to understand this emerging field. Uniquely connecting theory with experimental data, this book highlights the potential of advanced computational methods in cancer research. Beginning with a biological background, the reader is introduced to the principles of mathematical modeling, before being guided through case studies that demonstrate how modeling can aid our understanding of tumour biology. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 298 pages. 10.00x7.00x0.75 inches. In Stock.
Da: moluna, Greven, Germania
EUR 180,84
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Aggiungi al carrelloGebunden. Condizione: New. Uniquely connecting theory with experimental data, this book highlights the potential of advanced computational methods in cancer research. Beginning with a biological background, the reader is introduced to the principles of mathematical modeling, before b.
Lingua: Inglese
Editore: Cambridge University Press Sep 2010, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 223,14
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - Uniquely connecting theory with experimental data, this book highlights the potential of advanced computational methods in cancer research.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 275,99
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Mathematical modeling, analysis and simulation are set to play crucial roles in explaining tumor behavior, and the uncontrolled growth of cancer cells over multiple time and spatial scales. This book, the first to integrate state-of-the-art numerical techniques with experimental data, provides an in-depth assessment of tumor cell modeling at multiple scales. The first part of the text presents a detailed biological background with an examination of single-phase and multi-phase continuum tumor modeling, discrete cell modeling, and hybrid continuum-discrete modeling. In the final two chapters, the authors guide the reader through problem-based illustrations and case studies of brain and breast cancer, to demonstrate the future potential of modeling in cancer research. This book has wide interdisciplinary appeal and is a valuable resource for mathematical biologists, biomedical engineers and clinical cancer research communities wishing to understand this emerging field. Uniquely connecting theory with experimental data, this book highlights the potential of advanced computational methods in cancer research. Beginning with a biological background, the reader is introduced to the principles of mathematical modeling, before being guided through case studies that demonstrate how modeling can aid our understanding of tumour biology. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.