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DTSTAMP:20260808T171106Z
UID:a7211ecb-835c-4701-9ee6-940c8653ef78
DTSTART:20241212T080000Z
DTEND:20241213T120000Z
DESCRIPTION:Educators:\nKarin Schork and Robin Grugel (BioInfra.Prot)\n\nDa
 te:\n12th Dec + 13th Dec 2024\, 9:00 am – 01:00 pm\, UTC+1\n\nLocation
 :\nOnline\n\nContents:\nThis course will provide comprehensive training on
  conducting differential analysis of high-throughput quantitative proteomi
 cs data using R. Starting with an introduction to the widely-used statisti
 cal programming language\, no prior experience with R is necessary.\nParti
 cipants will gain an understanding of the statistical concepts behind the 
 methods used\, enabling them to critically evaluate both their own workflo
 ws and those found in published studies. Key topics covered will include:
 \n•       Statistical inference: hypotheses and Type I and II err
 ors\n•       t-test and ANOVA\n•       Multiple testing 
 adjustments\n•       Volcano plot\n\nLearning goals:\n•    
    Learning about basic R functions including\n         -      
  data import and export\n         -       statistical tests\n
          -       basic visualization\n•       Deeper 
 understanding of statistical methods applied in differential analyses\n\nP
 rerequisites: \nBasic understanding of high-dimensional data sets from qu
 antitative proteomics or other omics\n•        No prior knowledge o
 n R required\n•        Computer with stable internet connection\, h
 eadset and camera\n\nKeywords:\nR\; high-throughput data\; omics\; proteom
 ics\; statistical analysis\n\nTools:\nDownload and more information on R h
 ere:\nhttps://cran.r-project.org/\nWe recommend using an editor such as RS
 tudio\, see\nhttps://posit.co/products/open-source/rstudio/\nR/RStudio nee
 d to be installed before the start of the course.
SUMMARY:Differential analysis of quantitative proteomics data using R
URL;VALUE=URI:https://www.denbi.de/training-courses-2024/1805-differential-
 analysis-of-quantitative-proteomics-data-using-r
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