Links
- ORCID
- Crossref | PDF
- [www.ncbi.nlm.nih.gov] | PDF
- [www.manchester.ac.uk]
- [digital.library.unt.edu]
- [digital.library.unt.edu] | PDF
- [europepmc.org] | PDF
- [www.researchgate.net] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
- [link.springer.com] | PDF
- [www.escholar.manchester.ac.uk] | PDF
Tools
Bioinformatics tools for cancer metabolomics
Journal article published in 2011 by
Grigoriy Blekherman,
Reinhard Laubenbacher,
Diego F. Cortes,
Pedro Mendes 
,
Frank M. Torti,
Steven Akman,
Suzy V. Torti,
Vladimir Shulaev,
Reinhard Laubenbacher Diego F. Cortes Pedro Mendes Frank M. Torti Steven Akman Suzy V. Torti Vladimir Shulaev Grigoriy Blekherman
,
Frank M. Torti,
Steven Akman,
Suzy V. Torti,
Vladimir Shulaev,
Reinhard Laubenbacher Diego F. Cortes Pedro Mendes Frank M. Torti Steven Akman Suzy V. Torti Vladimir Shulaev Grigoriy Blekherman
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.