Authors

Kathryn J Burton-Pimentel, Grégory Pimentel, Maria Hughes, Charlotte CJR Michielsen, Attia Fatima, Nathalie Vionnet, Lydia A Afman, Helen M Roche, Lorraine Brennan, Mark Ibberson, Guy Vergères

Abstract

Combining different “omics” data types in a single, integrated analysis may better characterize the effects of diet on human health. The integration of associated “omics” datasets can help clarify the subtle signals observed in nutritional interventions. The performance of each integration tool is differently influenced by study design, size of the datasets, and sample size.