Reflections on univariate and multivariate analysis of metabolomics data


Metabolomics experiments usually result in a large quantity of data. Univariate and multivariate analysis techniques are routinely used to extract relevant information from the data with the aim of providing biological knowledge on the problem studied. Despite the fact that statistical tools like the t test, analysis of variance, principal component… (More)
DOI: 10.1007/s11306-013-0598-6


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