Enrolment options

The course Statistische Methoden in Genomik und Proteomik (Statistical methods for biological high-throughput data) will cover important statistical methods and concepts for the analysis of biological high-throughput data. We will focus on bulk genomics, single-cell genomics, proteomic, and, in particular, microbiome data. 

Statistical topics include

  • Hypothesis testing for high-dimensional data
  • Differential abundance and association analysis
  • High-Dimensional regression models for biological data
  • Graphical models for network inference
  • Deep learning models for high-throughput data

Enrollment key (Einschreibeschlüssel): StatGenProt

All lectures and exercises will be taught live online in English via Zoom (see Ankündigungen for the link). 

Teaching times (starting April 22)
LectureWednesdays 10-12 c.t.Live Zoom link 
Exercises (every other week)Fridays 12-14 c.t.Live Zoom link

The live lectures will be recorded and made available to course participants.






Self enrolment (Student)