Annotation concept synthesis and enrichment analysis: a logic-based approach to the interpretation of high-throughput experiments

Mikhail Jiline, Stan Matwin, Marcel Turcotte

Abstract: : Annotation Enrichment Analysis (AEA) is a widely used analytical approach to process data generated by high-throughput genomic and proteomic experiments such as gene expression microarrays. The analysis uncovers and summarizes discriminating background information (e.g. GO annotations) for sets of genes identified by experiments (e.g. a set of differentially expressed genes, a cluster). The discovered information is utilized by human experts to find biological interpretations of the experiments.