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

ABSTRACT: The advent of high throughput technologies has led to a wealth of publicly available 'omics data coming from different sources, such as transcriptomics, proteomics, metabolomics. Combining such large-scale biological data sets can lead to the discovery of important biological insights, provided that relevant information can be extracted in a holistic manner. Current statistical approaches have been focusing on identifying small subsets of molecules (a 'molecular signature') to explain or predict biological conditions, but mainly for a single type of 'omics. In addition, commonly used methods are univariate and consider each biological feature independently. We introduce mixOmics, an R package dedicated to the multivariate analysis of biological data sets with a specific focus on data explo

SUBMITTER: Rohart F 

PROVIDER: S-EPMC5687754 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature