[R-sig-genetics] Gene Set Enrichment Analysis (GSEA) in R/Bioconductor course

[i@io m@iii@g oii phys@ii@-courses@org]

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
 
 
 
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Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

info using physalia-courses.org

mobile: +49 17645230846


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