Browsing by Author "Giráldez, Raúl"
Now showing items 1-18 of 18
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Presentation
An Approach to Reduce the Cost of Evaluation in Evolutionary Learning
(Springer, 2005)The supervised learning methods applying evolutionary al gorithms to generate knowledge model are extremely costly in time ...
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Article
An effective measure for assessing the quality of biclusters
(Elsevier, 2012)Biclustering is becoming a popular technique for the study of gene expression data. This is mainly due to the capability ...
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Presentation
Análisis de datos de expresión genética
(Universidad de Almería, 2006)El análisis de datos de expresión genética es una de las tareas fundamentales dentro de la Bioinformática. Para llevar ...
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Article
Biclustering on expression data: A review
(Elsevier, 2015)Biclustering has become a popular technique for the study of gene expression data, especially for discovering functionally ...
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Presentation
Estudio comparativo de medidas de calidad para biclusters en microarrays
(Asociación Española para la Inteligencia Artificial (AEPIA), 2007)La evaluación de biclusters se ha convertido en una de las tareas más importantes en el análisis de microarrays mediante ...
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Presentation
Evaluación de biclusters en un entorno evolutivo
(Thomson, 2007)La mayoría de las heurísticas utilizadas para la búsqueda de biclusters en microarrays hacen uso del residuo cuadrático ...
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Presentation
Evaluación de biclusters mediante intra-fluctuaciones mínimas: un enfoque multi-objetivo
(2007)Las técnicas de biclustering aplicadas a datos de expresión génica persiguen la extracción de subconjuntos de genes ...
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Presentation
Evolutionary Biclustering based on Expression Patterns
(IEEE Computer Society, 2011)The majority of the biclustering approaches for microarray data analysis use the Mean Squared Residue (MSR) as the main ...
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Presentation
Evolutionary Search of Biclusters by Minimal Intrafluctuation
(IEEE Computer Society, 2007)Biclustering techniques aim at extracting significant subsets of genes and conditions from microarray gene expression ...
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Presentation
Extracción de patrones de comportamiento en datos de expresión genómica
(Universidad de Almería, 2006)Los algoritmos de biclustering persiguen obtener subconjuntos de genes que se expresan de una manera similar frente a ...
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Presentation
Gene Ranking from Microarray Data for Cancer Classification : A Machine Learning Approach
(Springer, 2006)Traditional gene selection methods often select the top–ranked genes according to their individual discriminative power. ...
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Article
Improved biclustering on expression data through overlapping control
(Emerald, 2009)Purpose – The purpose of this paper is to present a novel control mechanism for avoiding overlapping among biclusters in ...
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Presentation
Measuring the Quality of Shifting and Scaling Patterns in Biclusters
(Springer, 2010)The most widespread biclustering algorithms use the Mean Squared Residue (MSR) as measure for assessing the quality of ...
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Presentation
Shifting Patterns Discovery in Microarrays with Evolutionary Algorithms
(Springer, 2006)In recent years, the interest in extracting useful knowledge from gene expression data has experimented an enormous increase ...
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Presentation
SNN: A Supervised Clustering Algorithm
(Springer, 2001-06)In this paper, we present a new algorithm based on the nearest neighbours method, for discovering groups and identifying ...
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Presentation
Spade: Algoritmo Evolutivo para Descubrir Patrones de Desplazamiento en Microarrays
(2007)El interés por extraer conocimiento útil de datos de expresión genómica ha experimentado un enorme auge en los últimos ...
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Presentation
VEt : Una medida para la detección de patrones de desplazamiento y escalado en biclusters
(IberGarceta, 2010)La mayoría de las heurísticas utilizadas para la búsqueda de biclusters en microarrays hacen uso del residuo cuadrático ...
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Presentation
Virtual Error: A New Measure for Evolutionary Biclustering
(Springer, 2007)Many heuristics used for finding biclusters in microarray data use the mean squared residue as a way of evaluating the ...