The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Multivariate paired data analysis: multilevel PLSDA versus OPLSDA
Open accessAbstract
Metabolomics data obtained from (human) nutritional intervention studies can have a rather complex structure that depends on the underlying experimental design. In this paper we discuss the complex structure in data caused by a cross-over designed experiment. In such a design, each subject in the study population acts as his or her own control and makes the data paired. For a single univariate response a paired t-test or repeated measures ANOVA can be used to test the differences between the paired observations. The same principle holds for multivariate data. In the current paper we compare a method that exploits the paired data structure in cross-over multivariate data (multilevel PLSDA) with a method that is often used by default but that ignores the paired structure (OPLSDA). The results from both methods have been evaluated in a small simulated example as well as in a genuine data set from a cross-over designed nutritional metabolomics study. It is shown that exploiting the paired data structure underlying the cross-over design considerably improves the power and the interpretability of the multivariate solution. Furthermore, the multilevel approach provides complementary information about (I) the diversity and abundance of the treatment effects within the different (subsets of) subjects across the study population, and (II) the intrinsic differences between these study subjects.
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Citations
Cites
Partial least squares for discrimination
Barker, M., & Rayens, W. (2003) · Journal of Chemometrics · doi:10.1002/cem.785 · Cited by 2,841
Orthogonal projections to latent structures (O‐PLS)
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OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification
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Assessment of PLSDA Cross Validation
Westerhuis, J. A., Hoefsloot, H. C. J., Smit, S., Vis, D. J., Smilde, A. K., van Velzen, E. J. J., van Duijnhoven, J. P. M., & van Dorsten, F. A. (2008) · Metabolomics · doi:10.1007/s11306-007-0099-6 · Cited by 1,471
Self-citationWiklund, S., Johansson, E., Sjöström, L., Mellerowicz, E. J., Edlund, U., Shockcor, J. P., Gottfries, J., Moritz, T., & Trygg, J. (2008) · Analytical Chemistry · doi:10.1021/ac0713510 · Cited by 1,233
Nutritional Metabonomics: Applications and Perspectives
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Model validation by permutation tests: Applications to variable selection
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Assessing the statistical validity of proteomics based biomarkers
Smit, S., van Breemen, M. J., Hoefsloot, H. C. J., Smilde, A. K., Aerts, J. M. F. G., & de Koster, C. G. (2007) · Analytica Chimica Acta · doi:10.1016/j.aca.2007.04.043 · Cited by 177
Self-citationMultilevel data analysis of a crossover designed human nutritional intervention study
van Velzen, E. J. J., Westerhuis, J. A., van Duynhoven, J. P. M., van Dorsten, F. A., Hoefsloot, H. C. J., Jacobs, D. M., Smit, S., Draijer, R., Kroner, C. I., & Smilde, A. K. (2008) · Journal of Proteome Research · doi:10.1021/pr800145j · Cited by 161
Self-citationPohjanen, E., Thysell, E., Jonsson, P., Eklund, C., Silfver, A., Carlsson, I.-B., Lundgren, K., Möritz, T., Svensson, M., & Antti, H. (2007) · Journal of Proteome Research · doi:10.1021/pr070007g · Cited by 124
Cited by
Metabolic fate of polyphenols in the human superorganism
van Duynhoven, J., Vaughan, E. E., Jacobs, D. M., A. Kemperman, R., van Velzen, E. J. J., Gross, G., Roger, L. C., Possemiers, S., Smilde, A. K., Doré, J., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000098107 · Cited by 540
Self-citationAng, J. E., Revell, V., Mann, A., Mäntele, S., Otway, D. T., Johnston, J. D., Thumser, A. E., Skene, D. J., & Raynaud, F. (2012) · Chronobiology International · doi:10.3109/07420528.2012.699122 · Cited by 138
Gralka, E., Luchinat, C., Tenori, L., Ernst, B., Thurnheer, M., & Schultes, B. (2015) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.110536 · Cited by 128
Diémé, B., Mavel, S., Blasco, H., Tripi, G., Bonnet-Brilhault, F., Malvy, J., Bocca, C., Andres, C. R., Nadal-Desbarats, L., & Emond, P. (2015) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5b00699 · Cited by 122
Barton, S., Navarro, S. L., Buas, M. F., Schwarz, Y., Gu, H., Djukovic, D., Raftery, D., Kratz, M., Neuhouser, M. L., & Lampe, J. W. (2015) · Food & Function · doi:10.1039/c5fo00287g · Cited by 55
Metadata
- Authors
- Westerhuis, J. A., van Velzen, E. J. J., Hoefsloot, H. C. J., & Smilde, A. K.
- Venue
- Metabolomics
- Published
- 2009-10-28
- Volume
- 6
- Issue
- 1
- Pages
- 119-128
- ISSN
- 1573-3882 (ISSN-L)
- 1573-3890
- OpenAlex
- W2054324592
- Cited by
- 417
- References
- 18
- FWCI
- 3.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
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