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Big Data Lipidomics for Lipid Biomarker Identification and Drug Discovery

July 4, 2017

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.

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