Dear all, We’re excited to announce our upcoming online course “Gene Set Enrichment Analysis in R”, taking place 11–15 May! This practical course offers a comprehensive introduction to gene set enrichment analysis methods widely used in transcriptomics, proteomics, and multi-omics workflows. You’ll learn how to run, interpret, and report enrichment analyses using real-world examples and tools, with the flexibility to work on your own data. What you will learn:
Core concepts and statistical principles of gene set enrichment How to select and use gene set databases and annotation resources Over-representation analysis (ORA) and ranking-based methods like GSEA Advanced visualization and interpretation of results Applications in single-cell and spatial omics data Course format: Five afternoons (14:00–19:00 Berlin time) of lectures, hands-on exercises, and Q&A, fully online to support international participation. Find the full program and register here:[ https://www.physalia-courses.org/courses-workshops/gse-in-r/ ]( https://www.physalia-courses.org/courses-workshops/gse-in-r/ ) Best regards, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR [email protected] mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ ) [[alternative HTML version deleted]] _______________________________________________ R-sig-genetics mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-genetics
