Educators:
Karin Schork (biostatistician) (BioInfra.Prot) Nils Hoffmann (CAU)
Date:
23 & 24 Nov 2022 -
9:00 am – 01:00 pm, UTC+1
Location:
Online
Contents:
This course will impart knowledge about how to conduct a differential analysis of high-throughput quantitative proteomics data using R. As we start with a basic introduction to the popular statistical programming language, no prior knowledge on R is required.
The statistical background on utilized methods is explained in order to enable the participants to assess their own as well as published workflows critically. In this regard the course will touch upon
• statistical inference: hypotheses, type I and II error
• location tests (t-test)
• multiple testing
Learning goals:
• Independent usage of basic R functions including
- data import and export
- basic plots
- statistical tests
• Deeper understanding of statistical methods applied in differential analyses
Prerequisites:
• Basic understanding of high-dimensional data sets from quantitative proteomics or other life sciences;
• No prior knowledge on R required
• Computer with stable internet connection, headset and camera
Keywords:
R; high-throughput data; omics; proteomics; differential analysis
Tools:
Download and more information on R here:
https://cran.r-project.org/
We recommend using an editor such as RStudio, see
www.rstudio.com
Contact:
Registration:
https://forms.gle/Dkt7NeB5PCe7g1db6