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 RNA-Seq, single-cell RNA-Seq, proteomic, metabolic, and, in particular, microbiome such as 16S rRNA and other amplicon data.
Statistical topics include
Generative statistical models for count data Hypothesis testing for high-dimensional data Differential abundance and expression analysis High-Dimensional regression models for biological data Graphical models for network inference Deep learning models for high-throughput data
All lectures and exercises will be taught live online in English via Zoom (see Ankündigungen for the link).
Teaching times (starting April 19) Lecture Wednesdays 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. The first lecture will be on April 21, 2021.