Course Details

  • Date: April 16th, 2013 - April 16th, 2013
  • Time: 2:15 pm - 3:30 pm
  • Location: Building 37, Room 4041/4107
  • Presenter(s): Alan Berger (JHU)

Gene Set Enrichment Analysis (GSEA) is a computational method that determines whether an a priori defined set of genes shows statistically significant, concordant differences between two biological states (e.g. phenotypes). 

  • Using gene sets, e.g., pathways, GO categories, to interpret microarray (and other) biology data
  • Using a measure of differential expression for all the genes, rather than a list of distinguished  genes
  • The general approach of the Broad Institute’s GSEA software  // comparison with DAVID (NIAID)
  • The statistics behind GSEA  //  The data files required to use GSEA
  • Understanding the output files produced by GSEA  (April 23: hands on running the GSEA software)

Tuesday April 23rd, 2013 there will be a companion hands-on training session for GSEA