Dear all, Want to turn long gene lists into real biological insight? You can still join us for the Gene Set Enrichment Analysis in R course, starting next week.( 11–15 May) [ https://www.physalia-courses.org/courses-workshops/gse-in-r/ ]( https://www.physalia-courses.org/courses-workshops/gse-in-r/ ) This hands-on course will take you from the fundamentals of gene set enrichment to advanced, publication-ready analyses in R. You’ll learn how to run, interpret, and visualize enrichment results across transcriptomics, proteomics, and multi-omics data — using the tools actually used in current research. >From classic ORA to GSEA, pathway analysis, GO interpretation, and >network-based approaches, you’ll build a complete, practical workflow you can >immediately apply to your own data. And you are welcome to bring your own dataset. If you work with transcriptomic or multi-omics data, this is the step that makes your results biologically meaningful. Best, 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
