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Artículo
CarGene: Characterisation of sets of genes based on metabolic pathways analysis
(Inderscience, 2011)
The great amount of biological information provides scientists with an incomparable framework for testing the results of new algorithms. Several tools have been developed for analysing gene-enrichment and most of them ...
Ponencia
Evolutionary Metaheuristic for Biclustering based on Linear Correlations among Genes
(Association for Computing Machinery (ACM), 2010)
A new measure to evaluate the quality of a bicluster is proposed in this paper. This measure is based on correlations among genes. Moreover, a new evolutionary metaheuristic based on Scatter Search, which uses this ...
Artículo
Scatter search-based identification of local patterns with positive and negative correlations in gene expression data
(Elsevier, 2015)
This paper presents a scatter search approach based on linear correlations among genes to find biclusters, which include both shifting and scaling patterns and negatively correlated patterns contrarily to most ...
Ponencia
Correlation–Based Scatter Search for Discovering Biclusters from Gene Expression Data
(Springer, 2010)
Scatter Search is an evolutionary method that combines ex isting solutions to create new offspring as the well–known genetic algo rithms. This paper presents a Scatter Search with the aim of finding biclusters from gene ...
Ponencia
Inferring gene coexpression networks with Biclustering based on Scatter Search
(IEEE Computer Society, 2011)
The identification of regulatory modules is one of the most important tasks in order to discover disease markers. This paper presents a methodology to infer coexpression networks based on local patterns in gene expression ...
Ponencia
A Local Search in Scatter Search for Improving Biclusters
(IEEE Computer Society, 2011)
Scatter Search is a population-based metaheuristic that emphasizes systematic processes against random proce dures. A local search procedure is added to a Scatter Search for Biclustering in order to improve the quality ...