中文摘要：

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影响,使分析结果更具有生物学意义.

英文摘要：

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.