mixOmics: An R package for ‘omics feature selection and multiple data integration
Fig 1
Overview of the mixOmics multivariate methods for single and integrative ‘omics supervised analyses.
X denote a predictor ‘omics data set, and y a categorical outcome response (e.g. healthy vs. sick). Integrative analyses include N-integration with DIABLO (the same N samples are measured on different ‘omics platforms), and P-integration with MINT (the same P ‘omics predictors are measured in several independent studies). Sample plots depicted here use the mixOmics functions (from left to right) plotIndiv, plotArrow and plotIndiv in 3D; variable plots use the mixOmics functions network, cim, plotLoadings, plotVar and circosPlot. The graphical output functions are detailed in Supporting Information S1 Text.