Gene Set Enrichment Analysis (GSEA) is a computational method that determines whether a priori defined sets of genes show statistically significant, concordant differences between two biological states (e.g., diseased and healthy samples). GSEA assesses the enrichment of gene sets rather than focusing on individual genes, thus providing a more pathway-oriented view of gene expression data. It is commonly used to interpret microarray, RNA-Seq, and other high-throughput gene expression data.
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