Milotti, E., Vyshemirsky, V. , Sega, M., Stella, S., Dogo, F. and Chignola, R. (2013) Computer-aided biophysical modeling: a quantitative approach to complex biological systems. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10(3), pp. 805-810. (doi: 10.1109/TCBB.2013.35) (PMID:24091412)
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Abstract
When dealing with the biophysics of tumors, analytical and numerical modeling tools have long been regarded as potentially useful but practically immature tools. Further developments could not just overturn this predicament, but lead to completely new perspectives in biology. Here, we give an account of our own computational tool and how we have put it to good use, and we discuss a paradigmatic example to outline a path to making cell biology more quantitative and predictive.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Vyshemirsky, Dr Vladislav |
Authors: | Milotti, E., Vyshemirsky, V., Sega, M., Stella, S., Dogo, F., and Chignola, R. |
College/School: | College of Science and Engineering > School of Mathematics and Statistics > Statistics |
Journal Name: | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Publisher: | IEEE |
ISSN: | 1545-5963 |
ISSN (Online): | 1557-9964 |
Published Online: | 30 April 2013 |
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