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Regularized MANOVA (rMANOVA) in untargeted metabolomics |
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| Authors: | J. Engel L. Blanchet B. Bloemen L.P. van den Heuvel U.H.F. Engelke R.A. Wevers L.M.C. Buydens |
| Affiliation: | 1. Radboud University Nijmegen, Institute for Molecules and Materials, Heyendaalseweg 135, Nijmegen, The Netherlands;2. Translational Metabolic Laboratory at the Department of Laboratory Medicine, Radboud University Medical Centre, Geert Grooteplein 10, Nijmegen, The Netherlands;3. Department of Biochemistry, Nijmegen Centre for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, Nijmegen, The Netherlands |
| Abstract: | Many advanced metabolomics experiments currently lead to data where a large number of response variables were measured while one or several factors were changed. Often the number of response variables vastly exceeds the sample size and well-established techniques such as multivariate analysis of variance (MANOVA) cannot be used to analyze the data. |
| Keywords: | Multivariate analysis of variance Analysis of variance &ndash simultaneous component analysis Regularized multivariate analysis of variance High dimensional data Experimental design Metabolomics |
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