Multiscale modeling of cancer: an integrated experimental and mathematical modeling approach
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...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2010
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xix, 278 pages) |
| ISBN: | 9780511781452 |
| DOI: | 10.1017/CBO9780511781452 |
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| 505 | 8 | |a Part I. Theory: 1. Introduction; 2. Biological background; 3. Continuum tumor modeling: single phase; 4. Analysis and calibration of single-phase continuum tumor models; 5. Continuum tumor modeling: multiphase; 6. Discrete cell modeling; 7. Hybrid continuum -- discrete models; 8. Numerical schemes -- Part II. Applications: 9. Continuum tumor modeling: a multidisciplinary approach; 10. Agent-based cell modeling: application to breast cancer | |
| 520 | |a 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 | ||
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Datensatz im Suchindex
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| author | Cristini, Vittorio 1970- |
| author_facet | Cristini, Vittorio 1970- |
| author_role | aut |
| author_sort | Cristini, Vittorio 1970- |
| author_variant | v c vc |
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| bvnumber | BV043945568 |
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| contents | Part I. Theory: 1. Introduction; 2. Biological background; 3. Continuum tumor modeling: single phase; 4. Analysis and calibration of single-phase continuum tumor models; 5. Continuum tumor modeling: multiphase; 6. Discrete cell modeling; 7. Hybrid continuum -- discrete models; 8. Numerical schemes -- Part II. Applications: 9. Continuum tumor modeling: a multidisciplinary approach; 10. Agent-based cell modeling: application to breast cancer |
| ctrlnum | (ZDB-20-CBO)CR9780511781452 (OCoLC)992910376 (DE-599)BVBBV043945568 |
| dewey-full | 362.196/994 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 362 - Social problems and services to groups |
| dewey-raw | 362.196/994 |
| dewey-search | 362.196/994 |
| dewey-sort | 3362.196 3994 |
| dewey-tens | 360 - Social problems and services; associations |
| discipline | Soziologie Mathematik |
| doi_str_mv | 10.1017/CBO9780511781452 |
| format | Electronic eBook |
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| institution | BVB |
| isbn | 9780511781452 |
| language | English |
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| publisher | Cambridge University Press |
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| spelling | Cristini, Vittorio 1970- Verfasser aut Multiscale modeling of cancer an integrated experimental and mathematical modeling approach Vittorio Cristini, John Lowengrub Cambridge Cambridge University Press 2010 1 online resource (xix, 278 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Part I. Theory: 1. Introduction; 2. Biological background; 3. Continuum tumor modeling: single phase; 4. Analysis and calibration of single-phase continuum tumor models; 5. Continuum tumor modeling: multiphase; 6. Discrete cell modeling; 7. Hybrid continuum -- discrete models; 8. Numerical schemes -- Part II. Applications: 9. Continuum tumor modeling: a multidisciplinary approach; 10. Agent-based cell modeling: application to breast cancer 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 Mathematisches Modell Cancer / Research / Mathematical models Multiscale modeling Krebs Medizin (DE-588)4073781-0 gnd rswk-swf Mehrskalenmodell (DE-588)7600619-0 gnd rswk-swf Krebs Medizin (DE-588)4073781-0 s Mehrskalenmodell (DE-588)7600619-0 s 1\p DE-604 Lowengrub, John Sonstige oth Erscheint auch als Druckausgabe 978-0-521-88442-6 https://doi.org/10.1017/CBO9780511781452 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Cristini, Vittorio 1970- Multiscale modeling of cancer an integrated experimental and mathematical modeling approach Part I. Theory: 1. Introduction; 2. Biological background; 3. Continuum tumor modeling: single phase; 4. Analysis and calibration of single-phase continuum tumor models; 5. Continuum tumor modeling: multiphase; 6. Discrete cell modeling; 7. Hybrid continuum -- discrete models; 8. Numerical schemes -- Part II. Applications: 9. Continuum tumor modeling: a multidisciplinary approach; 10. Agent-based cell modeling: application to breast cancer Mathematisches Modell Cancer / Research / Mathematical models Multiscale modeling Krebs Medizin (DE-588)4073781-0 gnd Mehrskalenmodell (DE-588)7600619-0 gnd |
| subject_GND | (DE-588)4073781-0 (DE-588)7600619-0 |
| title | Multiscale modeling of cancer an integrated experimental and mathematical modeling approach |
| title_auth | Multiscale modeling of cancer an integrated experimental and mathematical modeling approach |
| title_exact_search | Multiscale modeling of cancer an integrated experimental and mathematical modeling approach |
| title_full | Multiscale modeling of cancer an integrated experimental and mathematical modeling approach Vittorio Cristini, John Lowengrub |
| title_fullStr | Multiscale modeling of cancer an integrated experimental and mathematical modeling approach Vittorio Cristini, John Lowengrub |
| title_full_unstemmed | Multiscale modeling of cancer an integrated experimental and mathematical modeling approach Vittorio Cristini, John Lowengrub |
| title_short | Multiscale modeling of cancer |
| title_sort | multiscale modeling of cancer an integrated experimental and mathematical modeling approach |
| title_sub | an integrated experimental and mathematical modeling approach |
| topic | Mathematisches Modell Cancer / Research / Mathematical models Multiscale modeling Krebs Medizin (DE-588)4073781-0 gnd Mehrskalenmodell (DE-588)7600619-0 gnd |
| topic_facet | Mathematisches Modell Cancer / Research / Mathematical models Multiscale modeling Krebs Medizin Mehrskalenmodell |
| url | https://doi.org/10.1017/CBO9780511781452 |
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