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Cited by 1,233

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Visualization of GC/TOF-MS-Based Metabolomics Data for Identification of Biochemically Interesting Compounds Using OPLS Class Models

Wiklund, Susanne, Johansson, Erik, Sjöström, Lina, Mellerowicz, Ewa J., Edlund, Ulf, Shockcor, John P., Gottfries, Johan, Moritz, Thomas, Trygg, Johan·2008·Analytical Chemistry
DOI 10.1021/ac0713510
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Abstract

Metabolomics studies generate increasingly complex data tables, which are hard to summarize and visualize without appropriate tools. The use of chemometrics tools, e.g., principal component analysis (PCA), partial least-squares to latent structures (PLS), and orthogonal PLS (OPLS), is therefore of great importance as these include efficient, validated, and robust methods for modeling information-rich chemical and biological data. Here the S-plot is proposed as a tool for visualization and interpretation of multivariate classification models, e.g., OPLS discriminate analysis, having two or more classes. The S-plot visualizes both the covariance and correlation between the metabolites and the modeled class designation. Thereby the S-plot helps identifying statistically significant and potentially biochemically significant metabolites, based both on contributions to the model and their reliability. An extension of the S-plot, the SUS-plot (shared and unique structure), is applied to compare the outcome of multiple classification models compared to a common reference, e.g., control. The used example is a gas chromatography coupled mass spectroscopy based metabolomics study in plant biology where two different transgenic poplar lines are compared to wild type. By using OPLS, an improved visualization and discrimination of interesting metabolites could be demonstrated.

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Metadata

Authors
Wiklund, S., Johansson, E., Sjöström, L., Mellerowicz, E. J., Edlund, U., Shockcor, J. P., Gottfries, J., Moritz, T., & Trygg, J.
Venue
Analytical Chemistry
Publisher
American Chemical Society (ACS)
Published
2007-11-21
Volume
80
Issue
1
Pages
115-122
ISSN
  • 0003-2700 (ISSN-L)
  • 1520-6882
DOI
10.1021/ac0713510
OpenAlex
W2017932539
Cited by
1,233
References
24
FWCI
14.97
Type
journal article
Language
en
Open access
closed

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