Ponencia
A novel approach for avoiding overlapping among biclusters in expression data
Autor/es | Pontes Balanza, Beatriz
Divina, Federico Gíraldez, Raúl Aguilar Ruiz, Jesús Salvador |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2008 |
Fecha de depósito | 2022-02-23 |
Publicado en |
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ISBN/ISSN | 978-0-7695-3326-1 |
Resumen | Biclustering is a technique used in analysis of microarray
data. It aims at discovering subsets of genes that
presents the same tendency under a subsest of experimental
conditions. Various techniques have been introduced ... Biclustering is a technique used in analysis of microarray data. It aims at discovering subsets of genes that presents the same tendency under a subsest of experimental conditions. Various techniques have been introduced for discovering significant biclusters. One of the most popular heuristic was introduced by Cheng and Church [6]. In the same work, a measure, called mean squared residue, for estimating the quality of biclusters was proposed. Even if this heuristic is successful in finding interesting biclusters, it presents a number of drawbacks. In this paper we expose these drawbacks and propose some solutions in order to overcome them. Experiments show that the proposed solutions are effective in order to improve the heuristic. |
Agencias financiadoras | Ministerio de Ciencia Y Tecnología (MCYT). España |
Identificador del proyecto | TIN2007-68084-C02- 00 |
Cita | Pontes Balanza, B., Divina, F., Gíraldez, R. y Aguilar Ruiz, J.S. (2008). A novel approach for avoiding overlapping among biclusters in expression data. En HIS 2008 : Eighth International Conference on Hybrid Intelligent Systems (813-818), Barcelona, España: IEEE Computer Society. |
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