分析化学2013，Vol.41Issue(7)：1000-1005,6.DOI:10.3724/SP.J.1096.2013.00959
代谢组学研究中样本间区分度的简易评判方法
Evaluation Methods for Discrimination of Metabonomic Data
摘要
Abstract
Metabonomics,which utilizes spectroscopic approaches to obtain the data and statistic approaches to analyze the data,has been widely used to study metabolic response of living system to internal and external stimuli.In this study,multivariate t test,interclass-distance and sum of squares of deviations were introduced for better evaluating the metabonomic data,aiming to answer the questions such as “Is there significant difference between classes”,“How big is the difference” and “How large is the data disparity” in a quantitative or semi-quantitative manner.The results demonstrated that the introduced statistic approaches could provide more information for the data and might be useful in designing experiment for metabolic studies.关键词
代谢组学/模式识别/多元统计分析/显著性检验/类间距/离差平方和/核磁共振Key words
Metabonomics / Pattern recognition / Multivariate statistical analysis / Significance test / Distance between classes/ Sum of squares of deviations/ Nuclear magnetic resonance引用本文复制引用
朱航,蓝文贤,刘买利..代谢组学研究中样本间区分度的简易评判方法[J].分析化学,2013,41(7):1000-1005,6.基金项目
本文系国家自然科学基金(No.20635054)资助项目 （No.20635054）
