Overrepresentation Analysis (ORA) is a statistical method used to determine if a set of genes, proteins, or other biological entities is overrepresented within a larger dataset, often in the context of functional categories or pathways. It helps in identifying biological processes or pathways that are more prevalent in the dataset than would be expected by chance, thereby highlighting potential areas of biological significance.