Interestingness measures and strategies for mining multi-ontology multi-level association rules from gene ontology annotations for the discovery of new GO relationships
This study describes a data mining algorithm for the discovery of new gene ontology relationships. This study presents new interestingness metrics for multi-ontology multi-level relationships. Cross-ontology relationships offer GO co-annotation candidates and cross-ontology connections. Our results indicate that our methods outperform QuickGO in generating co-annotation suggestions.
interestingness measures gene ontology data mining gene ontology relationships association rule mining interpro relationships