Biology by numbers: mathematical modelling in developmental biology

被引：132

作者：

Tomlin, Claire J. ^{[1
]}

Axelrod, Jeffrey D.

机构：

[1] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA

[2] Stanford Univ, Dept Aeronaut & Astronaut, Stanford, CA 94305 USA

[3] Stanford Univ, Sch Med, Dept Pathol, Stanford, CA 94305 USA

来源：

NATURE REVIEWS GENETICS | 2007年 / 8卷 / 05期

关键词：

D O I：

10.1038/nrg2098

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

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.

引用

页码：331 / 340

页数：10

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