Dear all, We're happy to share an upcoming online course on Gene Set Enrichment Analysis in R, taking place 11-15 May. Course website: [ https://www.physalia-courses.org/courses-workshops/gse-in-r/ ] Gene set enrichment analysis is a cornerstone of modern transcriptomics, proteomics, and multi-omics studies - but it's also easy to misuse or over-interpret. This course is designed to help you really understand what enrichment results mean, how they are computed, and how to use them responsibly in your research. The course is strongly hands-on and flexible. Alongside the core topics, we adapt the pace and focus to participants' interests, and you're very welcome to bring your own data to work on during the practical sessions. During the course, attendees will learn how to: Understand the biological and statistical logic behind enrichment analysis Choose appropriate gene set databases and annotations Run and interpret ORA, GSEA, CERNO, and other ranking-based methods Deal with gene identifiers and annotation pitfalls Reduce redundancy and make sense of overlapping results Visualize and communicate enrichment results clearly Apply advanced approaches, including topology-based, multivariate, single-cell, and spatial methods Design and validate custom gene sets Course format Fully online, to encourage international participation Sessions run daily from 14:00 to 19:00 (Berlin time) Short lecture blocks combined with hands-on exercises, discussion, and Q&A For the full list of our courses and workshops, please visit: [ https://www.physalia-courses.org/courses-workshops/ ] Best regards, Carlo Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR info@physalia-courses.org mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ ) (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)