OPEN ISSUES IN METABOLOMICS DATA ANALYSIS
We have accomplished a lot in metabolomics data analysis as a community. We have many methods available to tackle metabolomics data and also data preprocessing tools are starting to become mature. Yet, it is also worthwhile to consider open issues since this gives avenues for future research and development thereby raising the quality of our work. I will discuss and illustrate some of these open issues such as study design, permissible statistics, measurement error correlation, cohort transfer and power.