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DTSTAMP:20260616T163512Z
UID:c84ac796-35cd-444f-8530-e53398d83093
DTSTART:20201102T090000Z
DTEND:20201102T170000Z
DESCRIPTION:Educators:\nMichael Turewicz (bioinformatician) and Karin Schor
 k (biostatistician) (BioInfra.Prot)\n\nDate:\nMonday\, 2nd Nov 2020\n\nLoc
 ation:\nOnline\n\nContents:\nThis course will impart knowledge about how t
 o conduct a differential analysis of high-throughput quantitative proteomi
 cs data using R. As we start with a basic introduction to the popular stat
 istical programming language\, no prior knowledge on R is required.\nThe s
 tatistical background on utilized methods is explained in order to enable 
 the participants to assess their own as well as published workflows critic
 ally. In this regard the course will touch upon\n    • statistical infer
 ence: hypotheses\, type I and II error\n    • location tests (t-test)\n 
    • multiple testing\n\nLearning goals:\n    • Independent usage of b
 asic R functions including\n         - data import and export\n         - 
 basic plots\n         - statistical tests\n    • Deeper understanding of
  statistical methods applied in differential analyses\n\nPrerequisites:\n 
    • Basic understanding of high-dimensional data sets from quantitative
  proteomics or other life sciences\;\n    • No prior knowledge on R requ
 ired\n    • Computer with stable internet connection\, headset and camer
 a\n\nKeywords:\nR\; high-throughput data\; omics\; proteomics\; differenti
 al analysis\n\nTools:\ndownload and more information on R here:\nhttps://c
 ran.r-project.org/\n\nWe recommend using an editor such as RStudio\, see\n
 www.rstudio.com
SUMMARY:5th Differential analysis of quantitative proteomics data using R 
URL;VALUE=URI:https://www.denbi.de/training/794-5th-differential-analysis-o
 f-quantitative-proteomics-data-using-r
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