Dear all, there are only 5 seats left for upcoming online course on Gene Set Enrichment Analysis (GSEA) in R/Bioconductor! Dates: 22-25 January 2024 Course Overview: - Dive into GSEA basics and tools - Explore overrepresentation analysis and gene set analysis - Learn various GSEA methods, including multivariate and network-based approaches - Understand downstream processing for efficient result interpretation Target Audience: Perfect for students and researchers with basic R programming skills (data structures: vectors, data frames, lists) and limited statistical knowledge. Learning Outcomes: - Perform GSEA analysis using popular R/Bioconductor packages - Grasp various GSEA methods - Efficiently visualize and interpret GSEA results Program: Sessions: 14:00 to 20:00 (Berlin time) from Monday to Thursday Learn-by-practice mode with breaks and Q&A after each topic Bring your data for hands-on practice! Monday: Get hands-on with GSEA basics and online tools. Tuesday: Dive deep into GSEA theories, frameworks, and implementing new methods. Wednesday: Explore GSEA extensions: network-based GSEA, genomic region-based GSEA, GOseq, and single-sample GSEA. Thursday: Master downstream processing: visualize results, cluster data, and simplify GSEA interpretations. Limited Slots Available! Secure your spot now: [ https://www.physalia-courses.org/courses-workshops/gse-in-r/ ]( https://www.physalia-courses.org/courses-workshops/gse-in-r/ ) For the full list of our courses and workshops, have a look at: [ https://www.physalia-courses.org/courses-workshops ]( https://www.physalia-courses.org/courses-workshops ) Best regards, Carlo --------------------
Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR i...@physalia-courses.org mobile: +49 17645230846 [[alternative HTML version deleted]] _______________________________________________ R-sig-genetics mailing list R-sig-genetics@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-genetics