The ensemble approach to understand genetic regulatory networks
The ensemble approach to understand genetic regulatory networks
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DOI：
10.1016/j.physa.2004.05.018
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发表时间：
2004-09-15
影响因子：
3.3
通讯作者：
Kauffman, S
中科院分区：
文献类型：
--
作者：
Kauffman, S
了解由基因、RNA、蛋白质组成的遗传调控网络及其相互间的联系和动态控制规律，是当代系统生物学的一项重要任务。我在这里集中使用集成方法来找到一个或多个定义良好的模型网络集成，其统计特征与真实的细胞和生物体相匹配。这样的集合应该有助于解释和预测真实的细胞和有机体的特征。(C)2004年由Elsevier B.V.出版
Understanding the genetic regulatory network comprising genes, RNA, proteins and the network connections and dynamical control rules among them, is a major task of contemporary systems biology. I focus here on the use of the ensemble approach to find one or more well-defined ensembles of model networks whose statistical features match those of real cells and organisms. Such ensembles should help to explain and predict features of real cells and organisms. (C) 2004 Published by Elsevier B.V.