Educators:
Michael Turewicz (bioinformatician) and Karin Schork (biostatistician)

Date:
Monday, 19th Nov 2018

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

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:
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More information:
    - Announcement
http://www.rub.de/mpc/medical_bioinformatics/bioinfraprot/training/index.html.de
    - Flyer

Flyer R workshop 2017
    - Registration
http://goo.gl/forms/mpKHnbT1Um
    - Hosts
http://www.rub.de/mpc/medical_bioinformatics/index.html.de
    - Directions
http://www.rub.de/anreise/index_en.html