%0 Journal Article
	%A  Helyane B. Borges and  Julio Cesar Nievola
	%D 2013
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 80, 2013
	%T Multi-Label Hierarchical Classification for Protein Function Prediction
	%U https://publications.waset.org/pdf/16089
	%V 80
	%X Hierarchical classification is a problem with applications in many areas as protein function prediction where the dates are hierarchically structured. Therefore, it is necessary the development of algorithms able to induce hierarchical classification models. This paper presents experimenters using the algorithm for hierarchical classification called Multi-label Hierarchical Classification using a Competitive Neural Network (MHC-CNN). It was tested in ten datasets the Gene Ontology (GO) Cellular Component Domain. The results are compared with the Clus-HMC and Clus-HSC using the hF-Measure.

	%P 1081 - 1085