Ponencia
An Overlapping Control–Biclustering Algorithm from Gene Expression Data
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 | 2009 |
Fecha de depósito | 2022-05-26 |
Publicado en |
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ISBN/ISSN | 978-1-4244-4735-0 2164-7143 |
Resumen | In this paper a hybrid metaheuristic for biclustering
based on Scatter Search and Genetic Algorithms is pre sented. A general scheme of Scatter Search has been used
to obtain high–quality biclusters, but a way of ... In this paper a hybrid metaheuristic for biclustering based on Scatter Search and Genetic Algorithms is pre sented. A general scheme of Scatter Search has been used to obtain high–quality biclusters, but a way of generating the initial population and a method of combination based on Genetic Algorithms have been chosen. Moreover, in the own algorithm the overlapping among biclusters is con trolled adding a penalization term in the fitness function. Experimental results from yeast cell cycle are reported. Fi nally, the performance of the proposed hybrid algorithm is compared with a genetic algorithm recently published. |
Agencias financiadoras | Ministerio de Ciencia Y Tecnología (MCYT). España Junta de Andalucía |
Identificador del proyecto | TIN-68084-C02
P07-TIC-02611 |
Cita | Nepomuceno Chamorro, J.A., Troncoso Lora, A. y Aguilar Ruiz, J.S. (2009). An Overlapping Control–Biclustering Algorithm from Gene Expression Data. En ISDA 2009: 9th International Conference on Intelligent Systems Design and Applications (1239-1244), Pisa, Italy: IEEE Computer Society. |
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