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).

[@genomicsgurusHOWPERFORMGSEA2020]

Identifies set of genes that are enriched in a particular dataset when compared to control. Not only it considers, subset of genes with significant changes in gene expression it also consider the changes in gene expression of all dataset.

Input files

Expression dataset file (.gct or .txt): your expression dataset

Phenotype labels file (.cls)