Multi- and Megavariate Data Analysis

By M. Nemeth. Technometrics, 2003

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Proposed minimum reporting standards for data analysis in metabolomics (2007, methodology): “The subsequent model predictions are compared to known (blind) responses and a test statistic calculated (e.g., Q 2 statistic Eriksson et al. 2001).”
Glucosinolates and other metabolites in the leaves of Arabidopsis thaliana from natural populations and their effects on a generalist and a specialist herbivore (2008, background): “with that component (Eriksson et al. 2001).”
Metabolomics – A robust bioanalytical approach for the discovery of the modes-of-action of pesticides: A review (2011, methodology): “Metabolomics data are multivariate thus, the discrimination and classification of samples and the detection of biomarkers is mainly based on multivariate analyses [62].”