[s20] Statistische Methoden der Genomik und Proteomik (Müller)

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). 

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