Summer School on Multivariate data analysis methods
        for biological data using the R package mixOmics (passed)

        The course is intended for data analysts in the fields of bioinformatics, computational biology and applied
        statistics with a good statistical knowledge and a good working knowledge in R. It will be particularly
        useful to those interested in:

        1.  Exploring large data sets.
        2.  Selecting features with methods implementing LASSO-based penalisations.
        3.  Using graphical techniques to better visualise data.
        4.  Understanding and/or applying multivariate projection methodologies to large data sets.


        After completion of this workshop, participants will be able to

        1.  Understand fundamental principles of multivariate projection-based dimension reduction technique.
        2.  Perform statistical integration and feature selection using recently developed multivariate methodologies.
        3.  Apply those methods to high throughput biological studies, including their own studies.