The enrichment score (ES) is the maximum deviation from zero encountered during that walk. The ES reflects the degree to which the genes in a gene set are overrepresented at the top or bottom of the entire ranked list of genes. Next, GSEA estimates the statistical significance of the ES by a permutation test.
How do you read enrichment scores?
Interpretation of ES value:Higher the ES score, it more likely for a gene set to shift towards either end of the ranked list L.ES is a standard Kolmogorov Smirnov statistic, where p(a tuning parameter) = 0 means the fit is good and p = 1 means the fit is not good.Normalized Enrichment Score lies [0,1].
What is function enrichment analysis?
Functional enrichment analysis is a method to determine classes of genes or proteins that are over-represented in a large group of genes or proteins, and may have relations with disease phenotypes. This approach uses statistical methods to determine significantly enriched groups of genes.