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DTSTAMP:20260808T191529Z
UID:d5d96179-c296-4ea8-a021-02a4300dc901
DTSTART:20250916T070000Z
DTEND:20250917T110000Z
DESCRIPTION:Educators:\nKarin Schork and Robin Grugel (BioInfra.Prot)\n\nDa
 te:\n16th Sep + 17th Sep 2025\, 9:00 am – 01:00 pm\, UTC+2\n\nLocation:\
 nOnline\n\nContents:\nThis course will provide comprehensive training on c
 onducting differential analysis of high-throughput quantitative proteomics
  data using R. Starting with an introduction to the widely-used statistica
 l programming language\, no prior experience with R is necessary.\nPartici
 pants will gain an understanding of the statistical concepts behind the me
 thods used\, enabling them to critically evaluate both their own workflows
  and those found in published studies. Key topics covered will include:\n
 •       Statistical inference: hypotheses and Type I and II errors\n• 
       t-test and ANOVA\n•       Multiple testing adjustments\n•       
 Volcano plot\n\nLearning goals:\n•       Learning about basic R function
 s including\n         -       data import and export\n         -       sta
 tistical tests\n         -       basic visualization\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 omics\n•        No prior knowledge
  on R required\n•        Computer with stable internet connection\, head
 set and camera\n\nKeywords:\nR\; high-throughput data\; omics\; proteomics
 \; statistical analysis\n\nTools:\nDownload and more information on R here
 :\nhttps://cran.r-project.org/\n\nWe recommend using an editor such as RSt
 udio\, see\nhttps://posit.co/products/open-source/rstudio/\nR/RStudio need
  to be installed before the start of the course.
SUMMARY:8th Differential analysis of quantitative proteomics data using R
URL;VALUE=URI:https://www.denbi.de/training-courses-2025/1913-8th-different
 ial-analysis-of-quantitative-proteomics-data-using-r
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