An approach for metabonomics data analysis applied on the urine of RAC water extract administered rats
Data sets resulting from metabonomics or metabolic profiling experiments are becoming increasingly complex, which is hard to summarize and virsualize without appropriate tools. The use of chemometric tools, such as OSC, PCA, PLS-DA, OPLS-DA make the data dimension and interpretation much easier. Here we showed a system method based on PCA, OSC-PLS-DA for metabonomic data analysis; Furthermore, S-plot, as a visualized tool was used for the biomarkers discovery. As an example, dataset from RAC water extract administrated rats urine collected by LC/MS/MS was used to demonstrate this method. As a result, S-plot based on OSC-PLS-DA was proved to be an effective, time saving tool for data interpretation and biomarkers discovery.
principal component analysis (PCA) orthogonal signal correction partial least square discrimant analysis (OSC-PLS-DA) coomansplot
Guoliang Xu Qiyun Zhang Bingtao Li Xilan Tang Liping Huang Riyue Yu Hongning Liu
The Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Tradit Jiangxi University of Traditional Chinese medicine, Nanchang, Jiangxi, China
国际会议
太原
英文
336-338
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）