gene networks

Progress on methods for inferring the gene networks from microarray data

基于微阵列数据的基因网络预测方法研究进展

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Application of Random Matrix Theory to Identification of Lung Cancer Gene Networks

随机矩阵理论在肺癌基因网络识别中的应用

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Many of the human-specific gene networks identified by the scientists related to learning, brain cell activity and energy metabolism.

科学家已经证实了人类特有的基因网的存在，这些基因网与学习、大脑细胞活动以及能量代谢相关。

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In this survey we introduce the progress of gene circuits, which is an important method for researching gene networks, from the following three aspects: the basic module of gene circuits;

基因电路方法是目前基因网络研究的一种重要方法，本文从以下角度介绍基因电路研究的进展情况及相关研究成果：构成基因电路的基本模块；

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This paper investigated the use of a genetic algorithm using a local searching mechanism to reconstruct gene networks from test data.

本文重点考察了用遗传算法搜索网络空间的加权矩阵模型，采用遗传算法搜索机制从实验数据进行基因转录调控网络重建。

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Through the mechanism of SR, the energy transduction of molecular machinery may be enhanced, or the response of gene networks to external feeble signal can be improved, which shed light on some practical functions of SR.

这种随机共振现象可能会增强分子机器的能量传输作用，或者提高基因网络对外界微弱信号的响应能力，表现出一定的实际意义。

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