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R Methy VIII: ChAMP2

Bioinformatics Core Facility Gothenburg edited this page Sep 25, 2017 · 3 revisions

The final steps for performing a full ChAMP pipeline analysis is

  • Perform a Geneset Enrichment Analysis using champ.GSEA()
  • Perform Methylation Interaction Hotspot analysis using champ.EpiMod(). This one takes long time to run, so you might want to keep it for last.
  • Perform Copy Number Variation analysis using champ.CNA()

Questions

  1. How many significant gene lists did you find? Which genelist has the largest odds ratio (OR)? Why does not this genelist have the smallest p-value?
  2. Hand in epimod-plot for the most significant module
  3. Which tumor samples has the most copy number changes?

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