kozo2
commented
1 year ago @Physalia86 Thank you for sharing your event schedule with us! (I'm sorry for the late reply...) I added the schedule to the Bioconductor evnet calendar. https://bioconductor.org/help/events/ I also sent a pull request to update https://bioconductor.org/ in https://github.com/Bioconductor/bioconductor.org/pull/193 I close this issue once, but I will let you know as soon as the website is updated.
Type
workshop
Description
Gene set enrichment analysis (GSEA) is a basic method for biological data analysis. It is used to associate biological functions to a list of genes of interest, which is to explain the results from a biology point of view. In this course, we will teach the use of popular GSEA tools, both for online-based tools and those implemented as R packages. We will give a detailed introduction to a variety of methods of GSEA analysis, including overrepresentation analysis, univariate methods, multivariate methods, as well as extensions of GSEA analysis, such as network-based GSEA, and single-sample GSEA. Finally, you will also learn downstream processing of GSEA results, including efficiently visualizing the massive GSEA results, clustering, and simplifying GSEA results via various methods. In the course, we will cover some other topics that are tightly related to GSEA analysis, such as multiple hypothesis testing. You will also learn how to implement GSEA methods completely from scratch in R.
Instructor: Dr. Zuguang Gu (https://jokergoo.github.io/; German Cancer Research Center (DKFZ))
Location
online
Website
https://www.physalia-courses.org/courses-workshops/gse-in-r/
Start date and time
30th of January 2023 (2-8 PM)
End date and time
2nd of February 2023 (2-8 PM)
Time zone
Central European Time Zone
Contact Details
Info@physalia-courses.org
Registration details (if applicable)
Registration details
Sponsor or Organization
Sponsor or organization
Comment field
No response
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