Topics of the course

This one week intensive school is intended to give a clear view of current statistical and computational problems linked to microarray data along with some solutions.

This self-contained course will touch on many aspects of genome biology as it applies to microarray analysis.

Topics include preprocessing, estimating gene expression levels, microarray data and hybridization, experimental design, dimension reduction and pattern recognition techniques including boosting, bagging and other recent statistical techniques for microarray data analysis.

The course is computationally intensive and laboratory sessions are associated with methodology ones.


The course will be given by: