Lipidomics is the large-scale investigation of lipids in biological systems. Venturing into the analysis of large dataset, with potential thousands of lipidomes, by advanced multiparametric statistical approaches is a challenging endeavor.
We established algorithms and a full set of methods tailored to quantitative lipid data. This allows to perform statistical analysis and enrichment analysis in order to identify lipid biomarkers. In our recently published white paper a cohort of healthy subjects is compared with a cohort of diseased subjects. The result is a lipid signature that discriminates healthy from disease. Those could then potentially be of use for disease stratification or diagnosis by means of predictive modelling (machine learning). In this white paper, we will guide you through the data analysis process for lipid biomarkers. Read more
Learn more about Big Data Lipidomics and get the White Paper.