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.
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.
出处
《高等学校化学学报》
SCIE
EI
CAS
CSCD
北大核心
2011年第12期2769-2776,共8页
Chemical Journal of Chinese Universities
基金
国家自然科学基金(批准号:11175149
81171331)
中央高校基本科研业务费专项资金(批准号:2011121046)资助
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
Multi-factor analysis
Analysis of variance(ANOVA)
Partial least squares-discriminant analysis(PLS-DA)
NMR-based metabolomic