Ponencia
Shifting Patterns Discovery in Microarrays with Evolutionary Algorithms
Autor/es | Pontes Balanza, Beatriz
![]() ![]() ![]() ![]() ![]() ![]() ![]() Giráldez, Raúl Aguilar Ruiz, Jesús Salvador |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2006 |
Fecha de depósito | 2022-03-08 |
Publicado en |
|
ISBN/ISSN | 978-3-540-46537-9 0302-9743 |
Resumen | In recent years, the interest in extracting useful knowledge from gene expression data has experimented an enormous increase with the development of microarray technique. Biclustering is a recent technique that aims at ... In recent years, the interest in extracting useful knowledge from gene expression data has experimented an enormous increase with the development of microarray technique. Biclustering is a recent technique that aims at extracting a subset of genes that show a similar behaviour for a subset conditions. It is important, therefore, to measure the quality of a bicluster, and a way to do that would be checking if each data submatrix follows a specific trend, represented by a pattern. In this work, we present an evolutionary algorithm for finding significant shifting patterns which depict the general behaviour within each bicluster. The empirical results we have obtained confirm the quality of our proposal, obtaining very accurate solutions for the biclusters used. |
Agencias financiadoras | Comisión Interministerial de Ciencia y Tecnología (CICYT). España |
Identificador del proyecto | TIN2004–00159
![]() TIN2004-06689C0303 ![]() |
Cita | Pontes Balanza, B., Giráldez, R. y Aguilar Ruiz, J.S. (2006). Shifting Patterns Discovery in Microarrays with Evolutionary Algorithms. En KES 2006: 10th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (1264-1271), Bournemouth, UK: Springer. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
Shifting patterns discovery in ... | 1.064Mb | ![]() | Ver/ | |