270251 VU Evaluation Strategies of Big Data (2025W)

The identification of a large number of molecules by a single experiment offers fantastic chances, but also requires novel strategies for data evaluation and interpretation. Classical statistical tools may not be sufficient for appropriate conclusions. To get insight into the currently applied methodologies, the basics of mass spectrometric data aquisition, documentation and interpretation will be studied. The results are actually the working materials for the actually relevant functional conclusions. The latest methods of artificial intelligence including Bayesian networks and causal networks will be applied to reach these aims.