[R-sig-genetics] Gene Set Enrichment Analysis in R/Bioconductor - Online 3-6 March

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

Dear all,

there are only 3 seats available for our upcoming online course, "Gene Set Enrichment Analysis in R/Bioconductor" taking place from 3-6 March. This course will provide a comprehensive introduction to GSEA, a fundamental method for associating biological functions with gene lists.
 
 
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.
 
We will also 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.
 
For more information about this course, please visit: [ https://www.physalia-courses.org/courses-workshops/gse-in-r/ ]( https://www.physalia-courses.org/courses-workshops/gse-in-r/ )
 
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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