Statistical tests and statistical learning for omics data (2021-09-14)

14 - 15 September 2021 two days, Online Register here

This advanced statistics course will include feature selection in statistical tests, clustering and statistical learning methods.

Successful completion will be awarded with 1 ECTS.

Learning objectives:

  • Obtaining an overview of current computational systems biology approaches for omics data analysis
  • Understanding the principles behind data pre-processing, quality control and statistical analysis of large-scale biological datasets
  • Obtaining experience in higher-level omics analysis via pathway and network analyses
  • Learning the basics of machine learning analyses for omics sample clustering and classification


Registration is open. You can register here


  • Basic working knowledge of R
  • Have a computer ready with a recent version of R (4.0 or later) and RStudio (1.2 or later) installed. Please have your computer set-up well before the start of the course.

Time plan

Further details will come soon.


Enrico Glaab with Veronica Codoni, Armin Rauschenberger and Leon-Charles Tranchevent


The course will be held online. Access will be available for registered participants only.


Veronica Codoni