Annotation concept synthesis and enrichment analysis

Authors:
Mikhail Jiline;Stan Matwin;Marcel Turcotte
Affiliations:
University of Ottawa, Canada;,University of Ottawa, Canada;University of Ottawa, Canada
Venue:
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Year:
2010

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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 We briefly review ideas behind AEA, identify some limitations and propose a novel logic-based Annotation Concept Synthesis and Enrichment Analysis (ACSEA) approach ACSEA fuses inductive logic reasoning with statistical inference to uncover more complex phenomena captured by the experiments The results of the evaluation suggest that ACSEA can boost effectiveness of the processing of high-throughput experiments.