BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260616T155951Z
UID:c45a818a-f4a0-48a7-a9b4-ab0fcb1f69bf
DTSTART:20191119T090000Z
DTEND:20191119T170000Z
DESCRIPTION:Educators:\nMichael Turewicz (bioinformatician) and Karin Schor
 k (biostatistician) (BioInfra.Prot)\n\nDate:\nTuesday\, 19th Nov 2019\n\nL
 ocation:\nRuhr University Bochum\, 44801 Bochum\n\nContents:\nIn this cour
 se you will learn about using R for the analysis of proteomics data. We wi
 ll focus on data preprocessing methods and advanced methods for data analy
 sis. In this regard the cpurse will touch upon:\n    • data normalizatio
 n\n    • quality control\, handling of missing values\n    • clusterin
 g\, heatmaps\n    • ROC-curves\n\nPlease be aware that basic knowledge o
 f R and methods for differential analysis of proteomics data are taught in
  our course “Differential analysis of quantitative proteomics data” th
 e previous day (Monday\, 18th Nov 2019\, http://goo.gl/forms/mpKHnbT1Um)\n
 \nLearning goals:\n    • Independent usage of R functions for\n    • D
 ata preprocessing\n    • Plots and graphs\n    • Statistical methods f
 or data analysis\n    • Use of additional R packages\n    • Deeper und
 erstanding of statistical methods applied in differential analyses\n\nPrer
 equisites:\n    • Basic understanding of high-dimensional data sets from
  quantitative proteomics or other life sciences\;\n    • Basic knowledge
  of R (e.g. data import\, basic plots\, t-test\, for loop) and basic knowl
 edge of differential analysis of proteomics data. Both can for example be 
 gained from our course “Differential analysis of quantitative proteomics
  data” the previous day (Monday\, 18th Nov 2019\, http://goo.gl/forms/mp
 KHnbT1Um).\n    • Please bring your own laptop for the hands-on exercise
 s!\n\nKeywords:\nR\; high-throughput data\; omics\; proteomics\; data anal
 ysis\, graphics\, data preprocessing\n\nTools:\ndownload and more informat
 ion on R here:\nhttps://cran.r-project.org/\n\nWe recommend using an edito
 r such as RStudio\, see\nwww.rstudio.com
LOCATION:Bochum
SUMMARY:Advanced analysis of quantitative proteomics data using R
URL;VALUE=URI:https://www.denbi.de/training/556-advanced-r-course
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