Computational biology of cancer : lecture notes and mathematical modeling / Dominik Wodarz and Natalia Komarova.
The book shows how mathematical and computational models can be used to study cancer biology. It introduces the concept of mathematical modeling and then applies it to a variety of topics in cancer biology. These include aspects of cancer initiation and progression, such as the somatic evolution of...
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Full Text (via ProQuest) |
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| Main Author: | |
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| Format: | eBook |
| Language: | English |
| Published: |
Hackensack, NJ :
World Scientific,
2005.
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| Subjects: |
MARC
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| 100 | 1 | |a Wodarz, Dominik. | |
| 245 | 1 | 0 | |a Computational biology of cancer : |b lecture notes and mathematical modeling / |c Dominik Wodarz and Natalia Komarova. |
| 260 | |a Hackensack, NJ : |b World Scientific, |c 2005. | ||
| 300 | |a 1 online resource (xiv, 250 pages) | ||
| 336 | |a text |b txt |2 rdacontent. | ||
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| 347 | |a data file. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Preface; Contents; Chapter 1 Cancer and somatic evolution; Chapter 2 Mathematical modeling of tumorigenesis; Chapter 3 Cancer initiation: one-hit and two-hit stochastic models; Chapter 4 Microsatellite and chromosomal instability in sporadic and familial cancers; Chapter 5 Cellular origins of cancer; Chapter 6 Costs and benefits of chromosomal instability; Chapter 7 DNA damage and genetic instability; Chapter 8 Tissue aging and the development of cancer; Chapter 9 Basic models of tumor inhibition and promotion; Chapter 10 Mechanisms of tumor neovascularization. | |
| 520 | |a The book shows how mathematical and computational models can be used to study cancer biology. It introduces the concept of mathematical modeling and then applies it to a variety of topics in cancer biology. These include aspects of cancer initiation and progression, such as the somatic evolution of cells, genetic instability, and angiogenesis. The book also discusses the use of mathematical models for the analysis of therapeutic approaches such as chemotherapy, immunotherapy, and the use of oncolytic viruses. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Cancer |x Mathematical models. | |
| 650 | 0 | |a Cancer |x Research. | |
| 650 | 0 | |a Mathematical models. | |
| 650 | 7 | |a Mathematical models. |2 fast |0 (OCoLC)fst01012085. | |
| 650 | 7 | |a Cancer |x Mathematical models. |2 fast |0 (OCoLC)fst00845396. | |
| 650 | 7 | |a Cancer |x Research. |2 fast |0 (OCoLC)fst00845497. | |
| 700 | 1 | |a Komarova, Natalia L. | |
| 776 | 0 | 8 | |i Print version: |a Wodarz, Dominik. |t Computational biology of cancer. |d Hackensack, NJ : World Scientific, 2005 |w (DLC) 2004056774. |
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