Organizer: de.NBI

Start: Monday, 02 November 2020 @ 09:00

End: Monday, 02 November 2020 @ 17:00

Description:

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

Date:
Monday, 2nd Nov 2020

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

Event type:
  • Workshops and courses
5th Differential analysis of quantitative proteomics data using R https://tess.elixir-europe.org/events/5th-differential-analysis-of-quantitative-proteomics-data-using-r Educators: Michael Turewicz (bioinformatician) and Karin Schork (biostatistician) (BioInfra.Prot) Date: Monday, 2nd Nov 2020 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 2020-11-02 09:00:00 UTC 2020-11-02 17:00:00 UTC de.NBI [] [] [] workshops_and_courses [] []