Ron Wehrens, Biometris, Wageningen
Ron Wehrens is leading the contract-research section of Biometris, the Applied Mathematics and Statistics group at Wageningen University & Research. In addition to general consultancy the group focuses in particular on statistical genetics, risk assessment in the context of food and health, and the analysis of big data including omics data. Earlier he has been a group leader at Fondazione Edmund Mach (Italy) and associate professor at the Radboud University Nijmegen (Netherlands).
Tackling variation sources in metabolomics
Ron Wehrens, Jos Hageman and Jasper Engel
Wageningen University & Research
In order to arrive at valid and informative conclusions from metabolomics experiments it is important to take all sources of variation into consideration. This includes unwanted variation, e.g., caused by batch effects, but also variation induced by the experimental design. Experiments such as the traditional treatment-control comparisons usually can be analysed with simple multivariate methods like PCA or PLSDA, but for cases with more experimental parameters the analysis needs to be tailored to the design. We will discuss a number of illustrative examples in real-world applications.
Benelux Metabolomics Days 2020Registration website for Benelux Metabolomics Days 2020
Benelux Metabolomics Days 2020Benelux Metabolomics Days 20200.00EUROnlineOnly2019-01-01T00:00:00Z
Engels Conference CenterEngels Conference CenterStationsplein 45 3013 AK Rotterdam Netherlands