News:Gene Set Enrichment Analysis in R/Bioconductor
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2.1 years ago

Dear all,

Registration is open for the 2nd edition of the Gene Set Enrichment Analysis in R/Bioconductor


Dates: online, 30th January- 2nd February 2023


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 on 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.


LEARNING OUTCOMES

  1. be able to perform GSEA analysis with popular tools;
  2. understand various methods of GSEA analysis;
  3. efficiently visualize GSEA results
Gene-Set-Enrichment-Analysis R Cancer-Genomics GSEA • 792 views
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carlopecoraro2: Please ensure multi-word tags are separated by hyphens instead of blank spaces so they're not broken down into multiple tags by the site.

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Thanks for that!

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