MoDaS: Differential Expression Analysis


Within this module we consider testing of statistical hypotheses and data analysis using linear models. We will apply limma and other packages (DESeq2, edgeR) to identify significantly differentially expressed genes (miRNA, protein groups). Participants should have basic R programming skills (please check module Introduction to R).

The course is given by Petr Nazarov, with the support of Malou Fraiture & Bioinfo team: Reka Toth, Tony Kaoma, Arnaud Muller, Lu Zhang, Sang-Yoon Kim, Vladimir Despotovic

Place & Date

  • Webex
  • 9:00-13:00, October 17, 2022


The materials of the course are freely available online. Please, use the top menu to navigate through the topics:

  1. Basic statistics: hypotheses, p-value and t-test

  2. Multiple testing, ANOVA

  3. DEA with LIMMA: F-test and moderated t-test

  4. DEA for RNA-seq data: edgeR and DESeq