BioMed Research International
Volume 2015, Article ID 748681, 12 pages
http://dx.doi.org/10.1155/2015/748681
An Effective Big Data Supervised Imbalanced Classification Approach for Ortholog Detection in Related Yeast Species
1Departamento de Ciencias de la Computación, Universidad Central “Marta Abreu” de Las Villas (UCLV), 54830 Santa Clara, Cuba
2Department of Computer Science and Artificial Intelligence, Research Center on Information and Communications Technology (CITIC-UGR), University of Granada, 18071 Granada, Spain
3Centro de Bioactivos Químicos, Universidad Central “Marta Abreu” de Las Villas (UCLV), 54830 Santa Clara, Cuba
4Centro Interdisciplinar de Investigação Marinha e Ambiental (CIMAR/CIIMAR), Universidade do Porto, Rua dos Bragas 177, 4050-123 Porto, Portugal
5Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal
Received 7 April 2015; Revised 26 July 2015; Accepted 20 August 2015
Academic Editor: Shigehiko Kanaya
Copyright © 2015 Deborah Galpert et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to Cite this Article
Deborah Galpert, Sara del Río, Francisco Herrera, Evys Ancede-Gallardo, Agostinho Antunes, and Guillermin Agüero-Chapin, “An Effective Big Data Supervised Imbalanced Classification Approach for Ortholog Detection in Related Yeast Species,” BioMed Research International, vol. 2015, Article ID 748681, 12 pages, 2015. https://doi.org/10.1155/2015/748681.