Segmentation in silico

被引：8

作者：

Dearden, P ^{[1
]}

Akam, M ^{[1
]}

机构：

[1] Univ Cambridge, Museum Zool, Lab Dev & Evolut, Cambridge CB2 3EJ, England

来源：

NATURE | 2000年 / 406卷 / 6792期

关键词：

D O I：

10.1038/35018180

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

A new mathematical biology is emerging. Building on experimental data from developing organisms, it uses the power of computational methods to explore the properties of real gene networks.

引用

页码：131 / 132

页数：2

共 6 条

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