To establish the stable theory bases of choiceness gene induced, expression and breeding of high yield and high ephedrine content through series research the molecular biology.

进行系统的分子生物学研究，为麻黄的优良基因导入、表达及高产与高含碱量新种质的选育奠定坚实的理论基础。

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The theory and method of neural network ensemble were studied in the given gene expression data.

以一个典型的微阵列基因表达数据集为背景研究了神经网络集成的理论和方法。

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We used random matrix theory (RMT) to remove the noises in lung cancer gene expression data and used the modules approach and the hierarchical clustering approach to construct the gene networks.

利用随机矩阵理论(RMT)方法除去肺癌基因表达数据中的噪声，并将去噪后的数据分别用模块方法和等级聚类方法进行处理。

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