| Literature DB >> 17440530 |
Claire J Tomlin1, Jeffrey D Axelrod.
Abstract
In recent years, mathematical modelling of developmental processes has earned new respect. Not only have mathematical models been used to validate hypotheses made from experimental data, but designing and testing these models has led to testable experimental predictions. There are now impressive cases in which mathematical models have provided fresh insight into biological systems, by suggesting, for example, how connections between local interactions among system components relate to their wider biological effects. By examining three developmental processes and corresponding mathematical models, this Review addresses the potential of mathematical modelling to help understand development.Mesh:
Year: 2007 PMID: 17440530 DOI: 10.1038/nrg2098
Source DB: PubMed Journal: Nat Rev Genet ISSN: 1471-0056 Impact factor: 53.242