Browsing Ponencias (Lenguajes y Sistemas Informáticos) by Subject "Gene Expression Data"
Now showing items 1-9 of 9
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Presentation
A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms
(Springer, 2009)In this paper a hybrid metaheuristic for biclustering based on Scatter Search and Genetic Algorithms is presented. A ...
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Presentation
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 ...
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Presentation
A novel approach for avoiding overlapping among biclusters in expression data
(IEEE Computer Society, 2008)Biclustering is a technique used in analysis of microarray data. It aims at discovering subsets of genes that presents ...
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Presentation
Biclusters Evaluation Based on Shifting and Scaling Patterns
(Springer, 2007)Microarray techniques have motivated the develop of differ ent methods to extract useful information from a biological ...
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Presentation
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 ...
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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 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 ...
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Presentation
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 ...
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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 ...