OnPLS-based multi-block data integration: a multivariate approach to interrogating biological interactions in asthma

Integration of multi-omics data remains a key challenge in fulfilling the potential of comprehensive systems biology. This study aimed to explore the potential for the multi-block projection method (OnPLS) and multi-block variable influence on the projection (MB-VIOP) to interrogate an example systems medicine study, using a subset of 22 individuals from an asthma cohort. Joint data structure in six data blocks was assessed: transcriptomics; metabolomics; targeted assays for sphingolipids, oxylipins, and fatty acids; and a clinical block including lung function, immune cell differentials, and cytokines.