Target group

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 penalizations.

3. Using graphical techniques to better visualize data.

4. Understanding and/or applying multivariate projection methodologies to large data sets.

Results

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.