How to interpret GSEA results and plot - simple explanation of ES, NES, leading edge and more!

In this video, I will focus on how to interpret the results from Gene Set Enrichment Analysis (GSEA) and to interpret the plots.
Learn what are the main statistics given by GSEA and how to use them to make the most of your pathway enrichment analysis results, including how to interpret the Enrichment Score (ES), Normalised Enrichment Score (NES), p-values, FDR...
We will go through basic GSEA terms like the ranking metric, the leading edge subset and more!
Hope you like it!

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Other interesting resources for GSEA:
Original publication: https://www.pnas.org/doi/10.1073/pnas...
You can conduct your own Gene Set Enrichment Analysis with GSEA Software:
https://www.gsea-msigdb.org/gsea/inde...
or if you want to program your way through it, I recommend the fgsea or clusterProfiler packages:
https://bioconductor.org/packages/rel...
https://bioconductor.org/packages/rel...