Enrichment map

Enrichment map is a visualization tool used in bioinformatics that helps researchers to explore and interpret large sets of biological data, such as gene expression data or protein-protein interaction networks. It is based on the concept of gene set enrichment analysis (GSEA), which involves identifying groups of functionally related genes that are over-represented in a given dataset.

Enrichment maps use a network-based approach to display the relationships between these gene sets, which allows researchers to identify functional modules or pathways that are enriched in their data. The nodes in the map represent gene sets, and the edges represent the overlap between them. The size of the node indicates the number of genes in the set, and the color indicates the level of enrichment.

Enrichment maps can be used to identify biologically meaningful patterns in large datasets, to generate hypotheses about the underlying mechanisms, and to prioritize genes or pathways for further investigation. They are widely used in fields such as cancer biology, drug discovery, and systems biology.