Surf 64, Advanced OMIC Profiling and Integration10-21 juillet 2017, Anglet
SURF 64 aims to provide a comprehensive introduction to advanced statistical models to perform in-depth OMIICs screening using established methods and their latest extensions, in order to allow the integration of several OMICs profiles measured in the same individuals.
Specifically, the course will develop the theoretical background of these methods, their applicability to OMICs data in epidemiology and Health Sciences, and will feature a large proportion of practical work using real data: 6 full days on a project-driven research exercise and 4 afternoons of practical work.
SURF 64 proposes to build upon a statistical background such as the one taught in the parent Stat-XP course (Imperial College) or the Molecular Epidemiology Course (Utrecht University), and to present necessary extensions of these methods in order to:Accommodate complex study designs
- Accommodate complex study designsImprove results interpretability
- Improve results interpretabilityHandle multiple sets of OMICs data
- Handle multiple sets of OMICs data
In addition to regression-based profiling approaches, SURF 64 will also feature detailed exploration of machine learning approaches, including network inference and their practical application to real data.