Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
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Idioma: Inglés
Publicado por Cambridge University Press CUP, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
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Añadir al carritoCondición: New. pp. xix + 278 1st Published.
Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
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Añadir al carritoCondición: New. pp. xix + 278 55 Illus.
Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
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Añadir al carritoCondición: New. pp. xix + 278.
Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
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Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
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Añadir al carritoHardcover. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
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Añadir al carritoHardcover. Condición: 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.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 298 pages. 10.00x7.00x0.75 inches. In Stock.
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Añadir al carritoGebunden. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press Sep 2010, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoBuch. Condición: Neu. Neuware - Uniquely connecting theory with experimental data, this book highlights the potential of advanced computational methods in cancer research.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2010
ISBN 10: 052188442X ISBN 13: 9780521884426
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 276,46
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Añadir al carritoHardcover. Condición: 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.