Functional enrichment analysis is a method used to identify which biological functions, pathways, or processes are over-represented in a set of genes or proteins. This analysis is essential for interpreting high-throughput data, such as those from genomics, transcriptomics, or proteomics studies. In proteomics, this analysis helps in understanding the biological significance of the identified proteins by highlighting specific functions or pathways that are more prevalent than would be expected by chance. 

 

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