Differential Expression Analysis

MoDaS: Differential Expression Analysis

About

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 members of BioAI and MoDaS groups and Human Resource of Luxembourg Institute of Health

Place & Date

• Webex
• 9:30-17:00, October 21, 2024

Materials

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

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Links

Software

• R-cran - install R.
• RStudio - install RStudio.
• Bioconductor - R-packages for the analysis of high-throughput genomic data.

Information

• R Cheat Sheets by RStudio.
• R Reference Card - classical.
• R Tutorial
• R-tidyverse course on tidyverse style of R programming.

by Petr Nazarov