WP3

This WP aims to develop a set of advanced statistical and bioinformatics analysis strategies, tools, codes and tutorials for the analysis of exposome data. This includes:

• The analysis of longitudinal exposome and health associations, including strategies aimed at risk prediction such as machine-learning (black box) techniques, and those aimed at estimating interpretable causal parameters for relevant exposures
• The analysis of combined exposures effects
• The integration of exposome and cross-omics data
• Strategies for incorporating a-priori knowledge on causal structures and mediators to improve causal inference
• The development of DataSHIELD R packages to perform federated non-disclosive analyses of the exposome
• The development of open access tools, tutorials, courses and e-learning material