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

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

Attendance 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. Attendees to this session will learn:

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

Requisite

Download and install Cytoscape

Date:
Thursday, March 16, 2023 Show more dates
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.

Event Organizer

Profile photo of Rolando Garcia-Milian
Rolando Garcia-Milian
Profile photo of Vermetha Polite
Vermetha Polite