An approach for matabonomics data analysis applied on the urine of HB water extract administered rats

摘要：

Data sets resulting front metabonomics or metabolic profiling experiments are becoming increasingly complex, which is hard to summarize and visualize without appropriate tools. The use of chemometric tools, such as orthogonal signal correction (OSC), principal component analysis (PCA), partial least squares to latent structure discriminant analysis (PLS-DA), make the data dimensionality reduction and interpretation much easier. Here we showed a system method based on PCA, PLS-DA for metabonomic data analysis; Furthermore, the loading plots of mass data, were used for the biomarkers discovery.

关键词： principal component analysis (PCA partial least squares to latent structure discriminant analysis (PLS-DA) score plot loading plot

作者: Qiyun Zhang Guoliang Xu Bingtao Li Xilan Tang Liping Huang Riyue Yu Hongning Liu

作者单位: The Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Tradit Jiangxi University of Traditional Chinese medicine, Nanchang, Jiangxi, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 333-335

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）