Pathway analysis of proteomics or transcriptomics data: Part 1 Gene Set Enrichment Analysis (GSEA) (In-Person)

Registration is required. Click here to register.

After running a differential analysis, no individual gene meets the threshold for statistical significance, or you have a long list of differentially expressed genes without any unifying biological theme. Then this workshop is for you.

Gene Set Enrichment Analysis (GSEA) (UC San Diego/Broad Institute) determines whether a set of genes shows statistically significant differences between two biological conditions (e.g., phenotypes). From this session/workshop you will learn how to run GSEA on your own datasets using the GSEA desktop application. During the session, we will use a tutorial dataset that will be made available to all the registrants.

The goals of the session are:

• To learn how to prepare your data and files for running GSEA.
• To learn about Molecular Signature Database (MSigDB).
• To learn how to run GSEA analysis and the Leading-edge analysis and results interpretation.
• Send and visualize the results using the Enrichment Map app.
• Understand the relevance of the results statistical vs biological.