stat_meth_genprot21

خيارات التسجيل

[s21] 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 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

Enrollment key (Einschreibeschlüssel): StatGenProt
(The key should work now!!)

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.

المعلم: Christian Müller
المعلم: Roberto Olayo Alarcon