Gene enrichment analysis is a bioinformatics method used to identify enriched functions, pathways, or biological features in gene sets. By comparing the set of genes in the experiment to sets of genes with known functions or pathways in the database, biological features related to the experimental conditions can be discovered. Common gene enrichment analysis tools include DAVID, Enrichr, GOseq, etc. This analysis helps reveal potential biological meanings in experimental data, providing interpretation and biological insights for high-throughput experiments such as gene expression and proteomics.