Gene Set Enrichment Analysis (GSEA) is a freely available tool developed at the Broad Institute that analyzes the distribution of gene sets in the context of gene expression experiments. Thousands functionally associated, positionally related or otherwise linked gene sets are annotated in the Broad Institute’s MsigDb collections and are available for testing. In addition, custom gene sets can be created and tested according to researches needs. In this IAP, the rationale for GSEA will be reviewed and hands-on instruction in input data setup, execution of analyses and assembly and interpretation of results will be provided. The single-sample GSEA variant will be demonstrated and the application of GSEA to different data types will be discussed. Example datasets will be provided but attendees are encouraged to bring their own data.
Eligibility: MIT researchers affiliated with the Koch Institute, the Biology Department, the Center for Environmental Health Sciences or the Department of Biological Engineering.
- Thursday, January 31, 2019
- 10:00am - 12:00pm
- 14N-132 (DIRC)