Coarse-grained reverse engineering of genetic regulatory networks

被引：94

作者：

Wahde, M

Hertz, J

机构：

[1] NORDITA, DK-2100 Copenhagen, Denmark

[2] Chalmers Univ Technol, Div Mechatron, S-41296 Gothenburg, Sweden

来源：

BIOSYSTEMS | 2000年 / 55卷 / 1-3期

关键词：

genetic regulatory networks; neural networks; gene expression;

D O I：

10.1016/S0303-2647(99)00090-8

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We have modeled genetic regulatory net works in the framework of continuous-time recurrent neural networks. A method for determining the parameters of such networks, given expression level time series data, is introduced and evaluated using artificial data. The method is also applied to a set of actual expression data from the development of rat central nervous system. (C) 2000 Elsevier Science Ireland Ltd. All rights reserved.

引用

页码：129 / 136

页数：8

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