Abstract. This paper proposes a novel Ant Colony Optimisation algorithm for the hierarchical problem of predicting protein functions using the Gene Ontology (GO). The GO structure represents a challenging case of hierarchical classification, since its terms are organised in a direct acyclic graph fashion where a term can have more than one parentin contrast to only one parent in tree structures. The proposed method discovers an ordered list of classification rules which is able to predict all GO terms independently of their level. We have compared the proposed method against a baseline method, which consists of training classifiers for each GO terms individually, in five different ion-channel data sets and the results obtained are promising.
In REF develop a new Ant Colony Optimisation algorithm, named hAnt-Miner, for the hierarchical classification problem of predicting protein functions using the GO.
A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms
EvoBIO
Computer Science Materials Science