mixOmics: An R package for 'omics feature selection and multiple data integration

The mixOmics R-package contains a suite of multivariate methods that model molecular features holistically and statistically integrate diverse types of data (e.g. ‘omics data as transcriptomics, proteomics, metabolomics) to offer an insightful picture of a biological system.Our two latest frameworks for data integration; N-integration with DIABLO combines different ‘omics datasets measured on the same N samples or individuals; P-integration with MINT combines studies measured on the same P features (e.g., genes) but from independent cohorts of individuals. Both frameworks are introduced in a discriminative context for the identification of relevant and robust molecular signatures across multiple data sets. mixOmics is a well-designed, user-friendly package with attractive graphical outputs. It represents a significant contribution to the field of computational biology which has a strong need for such toolkits to mine and integrate datasets.