Organizer: de.NBI

Start: Monday, 18 November 2019 @ 09:00

End: Monday, 18 November 2019 @ 17:00

Venue: Bochum

City: Bochum

County: Arnsberg

Country: Germany

Description:

Educators:
Michael Turewicz (bioinformatician) and Karin Schork (biostatistician) (BioInfra.Prot)

Date:
Monday, 18th Nov 2019

Location:
Ruhr University Bochum, 44801 Bochum

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 and ANOVA)
• 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
• Please bring your own laptop for the hands-on exercises!

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

4th Differential analysis of quantitative proteomics data using R https://tess.elixir-europe.org/events/4th-differential-analysis-of-quantitative-proteomics-data-using-r Educators: Michael Turewicz (bioinformatician) and Karin Schork (biostatistician) (BioInfra.Prot) Date: Monday, 18th Nov 2019 Location: Ruhr University Bochum, 44801 Bochum 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 and ANOVA) • 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 • Please bring your own laptop for the hands-on exercises! 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 2019-11-18 09:00:00 UTC 2019-11-18 17:00:00 UTC de.NBI Bochum, Bochum, Germany Bochum Bochum Arnsberg Germany [] [] [] [] [] []