Educators:
Michael Turewicz (bioinformatician) and Karin Schork (biostatistician) (BioInfra.Prot)
Date:
Sunday, 11th Nov 2018
Location:
ISAS Campus, Dortmund, Germany (as part of Lipidomics Forum)
Contents:
This course will impart knowledge about how to conduct a differential analysis of high-throughput quantitative omics 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 (hypothesis testing, multiple testing) is explained in order to enable the participants to assess their own as well as published workflows critically. The learning goals of this workshop contain the usage of basic R functions including functions for data import and export, basic plots and statistical tests. As the course will include hands-on exercises, bringing an own laptop is required.
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 omics or other life sciences;
- No prior knowledge on R required
Keywords:
R, high-throughput data, omics, differential analysis, multiple testing
Tools:
Download and more information on R here:
https://cran.r-project.org/
We recommend using an editor such as RStudio, see
https://www.rstudio.com
Contact: