Statistical tests and statistical learning for omics data

Early Sep 2026 Two days, Belval Campus, Luxembourg Registration currently closed.

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

Successful completion with attendance on site 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

Requirements

  • 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.

Tuesday (1 Sep. 2026)

TimeTopic
9.15Get together (MSA coffee area)
9.45Lecture in MSA 4.130
 Welcome & introduction
 Data pre-processing, filtering & quality control
 Feature selection and hypothesis tests
 Statistical meta-analysis of omics data
12.30Lunch break
13.30Practical tutorial
 Introduction to the example datasets used for the project
 Software installations on student laptops, retrieving public biomedical datasets
 Hands-on data pre-processing & differential abundance analysis
17.00End

Wednesday (2 Sep. 2026)

TimeTopic
9.15Get together (MSA coffee area)
9.45Lecture
 Cellular pathway & network analysis
 Unsupervised machine learning analysis (clustering)
 Supervised machine learning analysis (prediction)
12.30Lunch break
13.30Practical tutorial
 Hands-on pathway & network analysis
 Hands-on machine learning analyses
 Conclusion & final discussion
17.00End

Instructors

Enrico Glaab

Registration

Registration will open in May 2026. Note that the course dates are not fixed as of April 2026.

Address

The workshop will likely be held at the Maison du Savoir on 4th floor, meeting room 4.130.

University of Luxembourg Belval campus Esch-sur-Alzette

Contact

Tyler McInnes (LCSB, Elixir-Luxembourg)