Artículo
Incremental wrapper-based gene selection from microarray data for cancer classification
Autor/es | Ruiz, Roberto
Riquelme Santos, José Cristóbal Aguilar Ruiz, Jesús Salvador |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2006 |
Fecha de depósito | 2016-07-06 |
Publicado en |
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Resumen | Gene expression microarray is a rapidly maturing technology that provides the opportunity to assay the expression levels of thousands or
tens of thousands of genes in a single experiment. We present a new heuristic to ... Gene expression microarray is a rapidly maturing technology that provides the opportunity to assay the expression levels of thousands or tens of thousands of genes in a single experiment. We present a new heuristic to select relevant gene subsets in order to further use them for the classification task. Our method is based on the statistical significance of adding a gene from a ranked-list to the final subset. The efficiency and effectiveness of our technique is demonstrated through extensive comparisons with other representative heuristics. Our approach shows an excellent performance, not only at identifying relevant genes, but also with respect to the computational cost. |
Agencias financiadoras | Comisión Interministerial de Ciencia y Tecnología (CICYT). España |
Identificador del proyecto | TIN2004-00159
TIN2004- 06689-C03-03 |
Cita | Ruíz, R., Riquelme Santos, J.C. y Aguilar Ruiz, J.S. (2006). Incremental wrapper-based gene selection from microarray data for cancer classification. Pattern Recognition, 39 (12), 2383-2392. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Incremental wrapper.pdf | 390.5Kb | [PDF] | Ver/ | |