Presentation
Biclusters Evaluation Based on Shifting and Scaling Patterns
Author/s | Nepomuceno Chamorro, Juan Antonio
![]() ![]() ![]() ![]() ![]() ![]() ![]() Troncoso Lora, Alicia Aguilar Ruiz, Jesús Salvador García Gutiérrez, Jorge ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Department | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Publication Date | 2007 |
Deposit Date | 2022-05-26 |
Published in |
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ISBN/ISSN | 978-3-540-77225-5 0302-9743 |
Abstract | Microarray techniques have motivated the develop of differ ent methods to extract useful information from a biological point of view.
Biclustering algorithms obtain a set of genes with the same behaviour
over a group of ... Microarray techniques have motivated the develop of differ ent methods to extract useful information from a biological point of view. Biclustering algorithms obtain a set of genes with the same behaviour over a group of experimental conditions from gene expression data. In order to evaluate the quality of a bicluster, it is useful to identify specific tendencies represented by patterns on data. These patterns describe the behaviour of a bicluster obtained previously by an adequate bicluster ing technique from gene expression data. In this paper a new measure for evaluating biclusters is proposed. This measure captures a special kind of patterns with scaling trends which represents quality patterns. They are not contemplated with the previous evaluating measure ac cepted in the literature. This work is a first step to investigate methods that search biclusters based on the concept of shift and scale invariance. Experimental results based on the yeast cell cycle and the human B-cell lymphoma datasets are reported. Finally, the performance of the pro posed technique is compared with an optimization method based on the Nelder-Mead Simplex search algorithm. |
Funding agencies | Comisión Interministerial de Ciencia y Tecnología (CICYT). España Junta de Andalucía |
Project ID. | TIC2004-00159
![]() P05-TIC-00531 ![]() |
Citation | Nepomuceno Chamorro, J.A., Troncoso Lora, A., Aguilar Ruiz, J.S. y García Gutiérrez, J. (2007). Biclusters Evaluation Based on Shifting and Scaling Patterns. En IDEAL 2007: 8th International Conference on Intelligent Data Engineering and Automated Learning (840-849), Birmingham, UK: Springer. |
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