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L1范数支持向量机在代谢组学中的应用

DOI: 10.11938/cjmr20150108, PP. 67-77

Keywords: 模式识别,L1范数支持向量机(L1-normSVM),正交偏最小二乘(O-PLS),代谢组学,核磁共振(NMR)

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Abstract:

代谢组学是关于生物体内源性代谢物质的整体及其变化规律的科学,也是一个数据密集型的研究领域,由此使得模式识别在代谢数据处理中有重要作用.L1范数支持向量机(L1-NormSupportVectorMachines,L1-normSVMs)作为在模式识别领域中准确、稳健的方法,在代谢组学中的应用较少.该文应用L1-normSVM方法对小鼠感染血吸虫后的代谢数据进行了分析,分析结果显示L1-normSVM在聚类与特征选择方面具有优势,并表明它在代谢组学领域的应用有着潜力和前景.

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