Physical models of living systems
著者
書誌事項
Physical models of living systems
W.H. Freeman, a Macmillan Education Imprint, c2015
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注記
Includes bibliographical references (p. 323-332) and index
内容説明・目次
内容説明
This textbook helps students develop many of the competencies that form the basis of the MCAT2015. The only prerequisite for this is first-year physics. With the more advanced "Track-2" sections at the end of each chapter, the book can be used in graduate-level courses as well.
Written for intermediate-level undergraduates pursuing any science or engineering major, Physical Models of Living Systems, gives students the research skills they require but are often left unaddressed in traditional courses. Skills such as basic modeling, probabilistic modeling and data analysis methods. All of these basic skills, which are relevant to nearly any field of science or engineering, are presented in the context of case studies from living systems. This living systems include virus dynamics, bacterial genetics, statistical inference and synthetic biology.
目次
- I First Steps 1. Virus Dynamics
- 2. Physics and Biology.- II Randomness in Biology 3. Discrete Randomness
- 4. Some Useful Discrete Distributions
- 5. Continuous Distributions
- 6. Model selection and parameter estimation
- 7. Poisson Processes.- III Control in Cells 8. Randomness in Cellular Processes
- 9. Negative Feedback Control
- 10. Genetic Switches in Cells
- 11. Cellular Oscillators
- Epilogue.- Appendix A Global List of Symbols.- Appendix B Units and dimensional analysis.- Appendix C Numerical Values.
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