Novel multivariate methods for integration of genomics and proteomics data: applications in a kidney transplant rejection study.

ABSTRACT: Multi-omics research is a key ingredient of data-intensive life sciences research, permitting measurement of biological molecules at different functional levels in the same individual. For a complete picture at the biological systems level, appropriate statistical techniques must however be developed to integrate different 'omics' data sets (e.g., genomics and proteomics). We report here multivariate projection-based analyses approaches to genomics and proteomics data sets, using the case study of and applications to observations in kidney transplant patients who experienced an acute rejection event (n=20) versus non-rejecting controls (n=20). In this data sets, we show how these novel methodologies might serve as promising tools for dimension reduction and selection of relevant features f

SUBMITTER: Gunther OP 

PROVIDER: S-EPMC4229708 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature