biostudies-literatureUnknown8(Suppl 1)Shiryaeva LAnalysis of metabolomics data often goes beyond the task of discovering biomarkers and can be aimed at recovering other important characteristics of observed metabolomic changes. In this paper we explore different methods to detect the presence of distinctive phases in seasonal-responsive changes of metabolomic patterns of Siberian spruce (Picea obovata) during cold acclimation occurred in the period from mid-August to January. Multivariate analysis, specifically orthogonal projection to latent structures discriminant analysis (OPLS-DA), identified time points where the metabolomic patterns underwent substantial modifications as a whole, revealing four distinctive phases during acclimation. This conclusion was re-examined by a univariate analysis consisting of multiple pair-wise comparisonMetabolomics : Official journal of the Metabolomic Society123-130https://www.ebi.ac.uk/biostudies/studies/S-EPMC3337411biostudies-literaturePair-wise multicomparison and OPLS analyses of cold-acclimation phases in Siberian spruce.PMC3337411Strimbeck RSchroder WPShiriaev ASShiryaeva LAntti HfalsePair-wise multicomparison and OPLS analyses of cold-acclimation phases in Siberian spruce.Analysis of metabolomics data often goes beyond the task of discovering biomarkers and can be aimed at recovering other important characteristics of observed metabolomic changes. In this paper we explore different methods to detect the presence of distinctive phases in seasonal-responsive changes of metabolomic patterns of Siberian spruce (Picea obovata) during cold acclimation occurred in the period from mid-August to January. Multivariate analysis, specifically orthogonal projection to latent structures discriminant analysis (OPLS-DA), identified time points where the metabolomic patterns underwent substantial modifications as a whole, revealing four distinctive phases during acclimation. This conclusion was re-examined by a univariate analysis consisting of multiple pair-wise comparison2012-01-01T00:00:00Z2012 Jun2026-06-08T03:50:17.962Z2019-03-27T00:52:42ZS-EPMC33374112259372410.1007/s11306-011-0304-5