| 书目名称 | Computational Cell Biology |
| 编辑 | Christopher P. Fall,Eric S. Marland,John J. Tyson |
| 视频video | http://file.papertrans.cn/233/232160/232160.mp4 |
| 丛书名称 | Interdisciplinary Applied Mathematics |
| 图书封面 |  |
| 描述 | This text is an introduction to dynamical modeling in cell biology. It is not meant as a complete overview of modeling or of particular models in cell biology. Rather, we use selected biological examples to motivate the concepts and techniques used in computational cell biology. This is done through a progression of increasingly more complex cellular functions modeled with increasingly complex mathematical and c- putational techniques. There are other excellent sources for material on mathematical cell biology, and so the focus here truly is computer modeling. This does not mean that there are no mathematical techniques introduced, because some of them are absolutely vital, but it does mean that much of the mathematics is explained in a more intuitive fashion, while we allow the computer to do most of the work. The target audience for this text is mathematically sophisticated cell biology or neuroscience students or mathematics students who wish to learn about modeling in cell biology. The ideal class would comprise both biology and applied math students, who might be encouraged to collaborate on exercises or class projects. We assume as little mathematical and biological backgroun |
| 出版日期 | Textbook 2002 |
| 关键词 | algorithms; cell biology; computational cell biology; dynamical cell biology; mathematical biology; model |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b97701 |
| isbn_softcover | 978-1-4419-2975-4 |
| isbn_ebook | 978-0-387-22459-6Series ISSN 0939-6047 Series E-ISSN 2196-9973 |
| issn_series | 0939-6047 |
| copyright | Springer Science+Business Media New York 2002 |
|Archiver|手机版|小黑屋|
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