title: A multi-label approach using binary relevance and decision trees applied to functional genomics.
abstract: Many classification problems, especially in the field of bioinformatics, are associated with more than one class, known as multi-label classification problems. In this study, we propose a new adaptation for the Binary Relevance algorithm taking into account possible relations among labels, focusing on the interpretability of the model, not only on its performance. Experiments were conducted to compare the performance of our approach against others commonly found in the literature and applied to functional genomic datasets. The experimental results show that our proposal has a performance comparable to that of other methods and that, at the same time, it provides an interpretable model from the multi-label problem.
authors.affiliation: Department of Computer Science and Mathematics, University of Sao Paulo (USP), Av. Bandeirantes, 3900, Ribeirão Preto, SP 14040-901, Brazil. Electronic address: kemi@gmail.com.
authors.forename: Erica Akemi
authors.initials: EA
authors.lastname: Tanaka
authors.affiliation: Dow AgroSciences (Seeds, Traits & Oils), Av. Antonio Diederichsen, 400, Ribeirão Preto, SP 14020-250, Brazil. Electronic address: srnozawa@gmail.com.
authors.forename: Sérgio Ricardo
authors.initials: SR
authors.lastname: Nozawa
authors.affiliation: Department of Computer Science and Mathematics, University of Sao Paulo (USP), Av. Bandeirantes, 3900, Ribeirão Preto, SP 14040-901, Brazil. Electronic address: ale.alaniz@usp.br.
authors.forename: Alessandra Alaniz
authors.initials: AA
authors.lastname: Macedo
authors.affiliation: Department of Computer Science and Mathematics, University of Sao Paulo (USP), Av. Bandeirantes, 3900, Ribeirão Preto, SP 14040-901, Brazil. Electronic address: augusto@usp.br.
authors.forename: José Augusto
authors.initials: JA
authors.lastname: Baranauskas
mesh_terms: D000465:Algorithms; D030541:Databases, Genetic; D003663:Decision Trees; D023281:Genomics / Q000379:methods*; D012441:Saccharomyces cerevisiae / Q000235:genetics
keywords: Decision tree; Functional genomics; Multi-label classification