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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260616T143510Z
UID:0531bfa4-6de3-48da-a8e8-ce1f7578e4ea
DTSTART:20201109T090000Z
DTEND:20201109T170000Z
DESCRIPTION:Educators:\nMichael Turewicz (bioinformatician) and Karin Schor
 k (biostatistician) (BioInfra.Prot)\n\nDate:\nMonday\, 9th Nov 2020\n\nLoc
 ation:\nOnline\n\nContents:\nIn this course you will learn about using R f
 or the analysis of proteomics data. We will focus on data preprocessing me
 thods and advanced methods for data analysis. In this regard the cpurse wi
 ll touch upon:\n    • data normalization\n    • quality control\, hand
 ling of missing values\n    • clustering\, heatmaps\n    • ROC-curves\
 n\nPlease be aware that basic knowledge of R and methods for differential 
 analysis of proteomics data are taught in our course “Differential analy
 sis of quantitative proteomics data” the previous day (Monday\, 2nd Nov 
 2020\, http://goo.gl/forms/mpKHnbT1Um)\n\nLearning goals:\n    • Indepen
 dent usage of R functions for\n        - Data preprocessing\n        - Plo
 ts and graphs\n        - Statistical methods for data analysis\n        - 
 Use of additional R packages\n    • Deeper understanding of statistical 
 methods applied in differential analyses\n\nPrerequisites:\n    • Basic 
 understanding of high-dimensional data sets from quantitative proteomics o
 r other life sciences\;\n    • Basic knowledge of R (e.g. data import\, 
 basic plots\, t-test\, for loop) and basic knowledge of differential analy
 sis of proteomics data. Both can for example be gained from our course “
 Differential analysis of quantitative proteomics data” the previous day 
 (Monday\, 2nd Nov 2020\, http://goo.gl/forms/mpKHnbT1Um).\n    • Compute
 r with stable internet connection\, headset and camera\n\nKeywords:\nR\; h
 igh-throughput data\; omics\; proteomics\; data analysis\, graphics\, data
  preprocessing\n\nTools:\ndownload and more information on R here:\nhttps:
 //cran.r-project.org/\n\nWe recommend using an editor such as RStudio\, se
 e\nwww.rstudio.com
SUMMARY:2nd Advanced analysis of quantitative proteomics data using R
URL;VALUE=URI:https://www.denbi.de/training/795-2nd-advanced-analysis-of-qu
 antitative-proteomics-data-using-r
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