there are still 3 seats available for the 2nd edition of the Gene Set Enrichment Analysis in R/Bioconductor
Dates: online, 30th January- 2nd February 2023
In this course, we will teach the use of popular GSEA tools, both for online-based tools and those implemented as R packages. We will give a detailed introduction on a variety of methods of GSEA analysis, including overrepresentation analysis, univariate methods, multivariate methods, as well as extensions of GSEA analysis, such as network-based GSEA, and single-sample GSEA. Finally, you will also learn downstream processing of GSEA results, including efficiently visualizing the massive GSEA results, clustering, and simplifying GSEA results via various methods. In the course, we will cover some other topics that are tightly related to GSEA analysis, such as multiple hypothesis testing. You will also learn how to implement GSEA methods completely from scratch in R.
The course is aimed at students and researchers with limited statistical knowledge and they should have a basic knowledge of R programming, e.g. basic data structures (vectors, data frames, lists).
- be able to perform GSEA analysis with popular tools;
- understand various methods of GSEA analysis;
- efficiently visualize GSEA results