| 用多变量统计分析方法辨识肺癌患者分类中的关键元素(英文) |
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| 引用本文： | 张卓勇,王勇,刘思东,郭黎平,陈杭亭,曾宪津.用多变量统计分析方法辨识肺癌患者分类中的关键元素(英文)[J].分子科学学报,1999(2). |
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| 作者姓名： | 张卓勇 王勇 刘思东 郭黎平 陈杭亭 曾宪津 |
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| 作者单位： | 东北师范大学化学系，中国科学院长春应用化学研究所 |
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| 摘 要： | 用逐步判别、主成分分析和聚类方法研究了根据血清和毛发样品中元素含量对正常人和肺癌患者分类中的关键元素．用主成分分析的结果表明，在肺癌患者与正常人的分类中，血清中的Ｃａ，Ｃｒ，Ｃｕ，Ｐ和Ｚｎ是关键元素，而毛发中的Ａｌ，Ｂ，Ｃｒ，Ｐ和Ｓｒ是关键元素．对于正常人和癌症患者元素之间的欧氏距离不同
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| 关 键 词： | 癌 金属含量 血清 毛发 多变量分析 |
Identification of Key Elements in Classificationof Lung Cancer by Statistical Multivariate Analysis |
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| Zhang ZhuoyongWang YongLiu SidongGuo LipingChen HangtingZeng Xianjin.Identification of Key Elements in Classificationof Lung Cancer by Statistical Multivariate Analysis[J].Journal of Molecular Science,1999(2). |
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| Authors: | Zhang ZhuoyongWang YongLiu SidongGuo LipingChen HangtingZeng Xianjin |
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| Institution: | Zhang Zhuoyong1Wang Yong1Liu Sidong1Guo Liping1Chen Hangting2Zeng Xianjin2 |
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| Abstract: | The key elements for classification of normal persons and lung cancer patients based on metal contents in serum and hair samples were investigated by step discrimination, principal component analysis (PCA) and clustering analysis in the present paper. Studies based on the scores in principal component analysis showed that Ca, Cu, Cr, P and Zn are key elements in serum samples and Al, B, Cr, P and Sr are key elements in hair samples in identification of lung cancer patients from normal people. The euclidean distances between elements in both serum and hair samples were different for normal people and cancer patients. |
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| Keywords: | cancer metal content serum hair multivariate analysis |
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