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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: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:googlescopusMeta-analysis of gene expressions in testicular germ cell tumor histologies
ArticleAbstract: There is no consensus as to how a precursor lesion, germ cell neoplasia in situ (GCNIS), develops inPalabras claves:Biomarkers, Genes for pluripotency, Meta-analysis, ONCOGENES, pathogenesis, RNA expression, Testicular neoplasms, Tumor suppressor genesAutores:Jorge Parraga-Alava, von Eyben F.E.Fuentes:googlescopus