Pathway analysis of proteomics or transcriptomics data: Part 1 Gene Set Enrichment Analysis (GSEA)
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Pathway analysis of proteomics or transcriptomics data: Part 1 Gene Set Enrichment Analysis (GSEA) In-Person
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 Leadin-edge analysis and results interpretation.
- Send and visualize the results using the Enrichment Map app.
- Understand the relevance of the results statistical vs biological.
- Date:
- Thursday, January 19, 2023
- Time:
- 10:00am - 12:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- SHM L 111, Cushing/Whitney Medical Library, 333 Cedar Street
- Campus:
- Medical School
- Categories:
- Bioinformatics
Registration has closed.
Rolando Garcia-Milian
