Actas de congresos
Hierarchical classification of gene ontology-based protein functions with neural networks
Fecha
2015-07Registro en:
International Joint Conference on Neural Network, 2015, Killarney.
9781479919598
Autor
Cerri, Ricardo
Barros, Rodrigo C.
Carvalho, André Carlos Ponce de Leon Ferreira de
Institución
Resumen
Hierarchical Multi-label Classification (HMC) is a classification task where classes are organized in a hierarchical taxonomy, and instances can be simultaneously classified in more than one class. This paper investigates the HMC problem of classifying proteins in functions organized according to the Gene Ontology hierarchical taxonomy. This is a complex task, since the Gene Ontology hierarchy is organized as a Directed Acyclic Graph with thousands of classes hierarchically represented. We propose a neural network-based method to incorporate labeldependency during learning. The experimental results show that the proposed method achieves competitive results when compared to the state-of-the-art methods from the literature.