Ponencia
Evolutionary Metaheuristic for Biclustering based on Linear Correlations among Genes
Autor/es | Nepomuceno Chamorro, Juan Antonio
Troncoso Lora, Alicia Aguilar Ruiz, Jesús Salvador |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2010 |
Fecha de depósito | 2022-05-27 |
Publicado en |
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ISBN/ISSN | 978-1-60558-639-7 |
Resumen | 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 ... 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 measure as the fitness function, is presented to obtain biclusters that contain groups de highly-correlated genes. Later, an analysis of the correlation matrix of these biclusters is made to select these groups of genes that define new biclusters with shifting and scaling patterns. Experimental results from human B cell lymphoma are presented. |
Agencias financiadoras | Ministerio de Ciencia Y Tecnología (MCYT). España Junta de Andalucía |
Identificador del proyecto | TIN2007-68084-C02
P07-TIC-02611 |
Cita | Nepomuceno Chamorro, J.A., Troncoso Lora, A. y Aguilar Ruiz, J.S. (2010). Evolutionary Metaheuristic for Biclustering based on Linear Correlations among Genes. En SAC 2010: ACM Symposium on Applied Computing (1143-1147), Sierre, Switzerland: Association for Computing Machinery (ACM). |
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