Big Data Lipidomics for Lipid Biomarker Identification and Drug Discovery

Lipidomics is the large-scale study of lipids in biological systems. The analysis of large  datasets, potentially containing up to thousands of lipidomes, is a challenging endeavour.  We have established multiparametric statistical approaches, tailored to  quantify lipid data. These methods are geared to identify lipid biomarkers. In this  white paper a cohort of healthy subjects is compared with a cohort of diseased persons  to identify lipid signatures that discriminate health from disease. Such signatures  could potentially be useful for disease stratification or for diagnosis by means of predictive  modelling (machine learning). In this white paper, we will guide you through  the data analysis process aiming at the identification of lipid biomarkers and the  evaluations of their performance.