By Topic

The method for metabonomics data analysis applied on the urine of the rats administered with Liu Wei Di Huang Pills

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

8 Author(s)
Yi Zhao ; Key Lab. of Modern Preparation of TCM, Jiangxi Univ. of Traditional Chinese Med., Nanchang, China ; Guangbin Shang ; Wei Dong ; Qiyun Zhang
more authors

Data sets from metabonomics or metabolic profiling experiments are becoming increasingly complex, which are 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), and OSC-PLS-DA make the data dimensionality reduction and interpretation much easier. Here we showed a system method based on PCA, OSC-PLS-DA for metabonomic data analysis; Furthermore, the loading plots of mass data were used for the biomarkers discovery. As an example, dataset from Liu Wei Di Huang Pills administrated rats urine collected by LC/MS/MS was used to demonstrate this method. The results indicate that PCA combined with OSC-PLS-DA was a time-saving tool for data interpretation and biomarkers discovery.

Published in:

Robotics and Applications (ISRA), 2012 IEEE Symposium on

Date of Conference:

3-5 June 2012