Author： Blekherman Grigoriy
Publisher： Springer Publishing Company
ISSN： 1573-3882
Source： Metabolomics, Vol.7, Iss.3, 2011-09, pp. : 329-343
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
It is well known that significant metabolic change take place as cells are transformed from normal to malignant. This review focuses on the use of different bioinformatics tools in cancer metabolomics studies. The article begins by describing different metabolomics technologies and data generation techniques. Overview of the data pre-processing techniques is provided and multivariate data analysis techniques are discussed and illustrated with case studies, including principal component analysis, clustering techniques, self-organizing maps, partial least squares, and discriminant function analysis. Also included is a discussion of available software packages.
Related content
Access to resources
Recommend
Metabolomics and the move towards biology
By Hall Robert
Metabolomics, Vol. 7, Iss. 3, 2011-09 ,pp. :
Editorial: Metabolomics of VOCs
Current Metabolomics, Vol. 5, Iss. 2, 2017-06 ,pp. :
Recent Advances in Metabolomics
Current Metabolomics, Vol. 3, Iss. 1, 2015-01 ,pp. :
Metabolomics Society’s annual
Metabolomics, Vol. 9, Iss. 5, 2013-10 ,pp. :