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素食人群尿液1H NMR代谢轮廓的多因素方差分析
引用本文:董继扬,邓伶莉,CHENG Kian-Kai,陈忠.素食人群尿液1H NMR代谢轮廓的多因素方差分析[J].高等学校化学学报,2011,32(12):2769-2776.
作者姓名:董继扬  邓伶莉  CHENG Kian-Kai  陈忠
作者单位:1. 厦门大学电子科学系,福建省等离子体与磁共振研究重点实验室,厦门361005;Department of Biochemistry, University of Cambridge, Cambridge CB2 1GA, UK
2. 厦门大学电子科学系,福建省等离子体与磁共振研究重点实验室,厦门361005
3. Department of Biochemistry, University of Cambridge, Cambridge CB2 1GA, UK;Department of Bioprocess Engineering, Universiti Teknologi Malaysia, Skudai 81310, Malaysia
4. Department of Biochemistry, University of Cambridge, Cambridge CB2 1GA, UK
基金项目:国家自然科学基金,中央高校基本科研业务费专项资金
摘    要:结合方差分析(ANOVA)和偏最小二乘法判别分析(PLS-DA)两种分析技术,对素食和普食人群的尿液1H NMR谱进行分析.利用ANOVA方法将数据矩阵分解为几个独立因素矩阵,滤除干扰因素后,再利用PLS-DA对单因素数据进行建模分析.实验结果表明,ANOVA/PLS-DA方法可以有效地减少饮食因素和性别因素之间的相互...

关 键 词:多因素分析  方差分析  偏最小二乘法判别分析  核磁共振代谢组学
收稿时间:2010-12-07

Investigation of 1H NMR Profile of Vegetarian Human Urine Using ANOVA-based Multi-factor Analysis
DONG Ji-Yang,DENG Ling-Li,CHENG Kian-Kai,GRIFFIN Julian L.,CHEN Zhong.Investigation of 1H NMR Profile of Vegetarian Human Urine Using ANOVA-based Multi-factor Analysis[J].Chemical Research In Chinese Universities,2011,32(12):2769-2776.
Authors:DONG Ji-Yang  DENG Ling-Li  CHENG Kian-Kai  GRIFFIN Julian L  CHEN Zhong
Institution:1. Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen Universitty, Xiamen 361005, China;
2. Department of Biochemistry, University of Cambridge, Cambridge CB2 1GA, UK;
3. Department of Bioprocess Engineering, University of Technology Malaysia, Skudai 81310, Malaysia
Abstract:In this study, a technique that combined both analysis of variance(ANOVA) and partial least squares-discriminant analysis(PLS-DA) was used to compare the urine 1H NMR spectra of healthy people from a vegetarian and omnivorous population. In ANOVA/PLS-DA, the variation in data was first decomposed into different variance components that each contains a single source of variation. Each of the resulting variance components was then analyzed using PLS-DA. The experimental results showed that ANOVA/PLS-DA is efficient in disentangling the effect of diet and gender on the metabolic profile, and the method could be used to extract biologically relevant information for result interpretation.
Keywords:Multi-factor analysis  Analysis of variance(ANOVA)  Partial least squares-discriminant analysis(PLS-DA)  NMR-based metabolomic
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