Systems biology research in Metabolomics, Genomics and Proteomics generates huge datasets. An efficient data analysis and interpretation is needed to relate these data to the molecular basis of disease. Multivariate projection methods such as PCA and PLS provide data visualisation and predictive, validatable models. Principal Components Analysis (PCA) is invaluable as a visualisation and quality assurance tool and the recently introduced Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) method enables rapid identification of biomarker candidates.

For more detailed information, see the application notes "Metabonomics", "Analysing Omics Data", and "Mass Spec Based Metabonomics".