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2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings(1)
BioData Mining(1)
Journal of Bioinformatics and Computational Biology(1)
Proceedings - International Conference of the Chilean Computer Science Society, SCCC(1)
Proceedings of the 2016 42nd Latin American Computing Conference, CLEI 2016(1)
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Programación informática, programas, datos, seguridad(3)
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scopus(5)
A bi-objective model for gene clustering combining expression data and external biological knowledge
Conference ObjectAbstract: Clustering algorithms have been widely used by biologists to identify clusters of co-related genes.Palabras claves:Clustering, External Biological Knowledge, Gene Expression, Gene Ontology, Metaheurístic, Multi-objectiveAutores:Inostroza-Ponta M., Jorge Parraga-AlavaFuentes:googlescopusA multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies
ArticleAbstract: Background: Biologists aim to understand the genetic background of diseases, metabolic disorders orPalabras claves:External Biological Knowledge, Gene expression data, Multi-objective clustering (MOC), Pareto local search (PLS), Path-relinking (PR)Autores:Dorn M., Inostroza-Ponta M., Jorge Parraga-AlavaFuentes:googlescopusAn Unsupervised Learning Approach for Automatically to Categorize Potential Suicide Messages in Social Media
Conference ObjectAbstract: In this paper, we present an approach to categorize potential suicide messages in social media whichPalabras claves:Automatic annotation, Clustering, Corpus, Social media, suicide, unsupervised learningAutores:Caicedo R.A., Gomez Soriano J.M., Inostroza-Ponta M., Jorge Parraga-AlavaFuentes:googlescopusInfluence of the go-based semantic similarity measures in multi-objective gene clustering algorithm performance
ArticleAbstract: Using a prior biological knowledge of relationships and genetic functions for gene similarity, fromPalabras claves:Gene ontology (GO), Genetic Algorithm, multi-objective clustering, Semantic similarity measuresAutores:Inostroza-Ponta M., Jorge Parraga-AlavaFuentes:googlescopusUsing local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem
Conference ObjectAbstract: Finding a solution to the Multi-Criteria Minimum Spanning Tree (mc-MST) problem has direct benefit oPalabras claves:Comparative Study, Multi-criteria minimum spanning tree, Multi-objective optimization problems, Pareto local search, Path relinking, Tabu searchAutores:Dorn M., Inostroza-Ponta M., Jorge Parraga-AlavaFuentes:googlescopus