Integrating and analyzing data from different sources (Data Integration)

A systemic understanding of complex systems, such as molecular deregulation in human disease, requires the joint processing and analysis of data from different modalities. This integrative approach has especially gained traction in the molecular life sciences where high-throughput technology can collectively quantify a molecular totality, such as the genome, the proteome, or the metabolome. This session highlights the latest challenges and methods in high-dimensional omics data integration.

• Integrating and analysing -omics data from different sources in Alzheimer research, Cornelia van Duijn (Nuffield Department of Population Health, University of Oxford, UK) - abstract
• mixOmics: an R package for the integration of biological data sets, Sébastien Déjean (University of Toulouse, Toulouse Mathematics Institute) - abstract
• Multi-omics data analysis using sets of variables: many needles in multiple haystacks, Renée Menezes (Netherlands Cancer Institute, Biostatistics Unit) - abstract