Inference of a gene regulatory network by means of interactive evolutionary computing
Inference of a gene regulatory network by means of interactive evolutionary computing
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DOI：
10.1016/s0020-0255(02)00234-7
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发表时间：
2002-09-01
影响因子：
8.1
通讯作者：
Mimura, A
中科院分区：
文献类型：
--
作者：
Iba, H;Mimura, A
推断基因调控网络是生物信息学领域具有挑战性的课题之一。为了有效地推断网络结构，在推断过程中允许人工干预和战略数据获取的新方法似乎是必要的。在本文中，我们将提出一种利用 DNA 微阵列的基因表达数据交互式推断基因调控网络的有效方法。我们还将建立通过基于遗传算法的交互算法实现我们的方法的系统。实验结果表明，我们的方法可以用相对少量的表达数据准确地推断网络结构。 (C) 2002 Elsevier Science Inc. 保留所有权利。
Inferring a gene regulatory network is one of the challenging topics in the field of Bioinformatics. In order to infer a network structure effectively, the new approach that allows human intervention and strategic data acquisition in the inference process seems to be necessary. In this paper, we will propose an effective approach for interactively inferring gene regulatory networks using gene expression data from DNA microarrays. We will also establish the system that realizes our approach by GA-based interactive algorithm. Experimental results show that our method can infer the network structure accurately with a relatively small amount of expression data. (C) 2002 Elsevier Science Inc. All rights reserved.