Repositorio de producción científica de la Universidad de Sevilla

TriGen: A genetic algorithm to mine triclusters in temporal gene expression data

Opened Access TriGen: A genetic algorithm to mine triclusters in temporal gene expression data

Citas

buscar en

Estadísticas
Icon
Exportar a
Autor: Gutiérrez Avilés, David
Rubio Escudero, Cristina
Martínez Álvarez, Francisco
Riquelme Santos, José Cristóbal
Departamento: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Fecha: 2014
Publicado en: Neurocomputing, 132, 42-53.
Tipo de documento: Artículo
Resumen: Analyzing microarray data represents a computational challenge due to the characteristics of these data. Clustering techniques are widely applied to create groups of genes that exhibit a similar behavior under the conditions tested. Biclustering emerges as an improvement of classical clustering since it relaxes the constraints for grouping genes to be evaluated only under a subset of the conditions and not under all of them. However, this technique is not appropriate for the analysis of longitudinal experiments in which the genes are evaluated under certain conditions at several time points. We present the TriGen algorithm, a genetic algorithm that finds triclusters of gene expression that take into account the experimental conditions and the time points simultaneously. We have used TriGen to mine datasets related to synthetic data, yeast (Saccharomyces cerevisiae) cell cycle and human inflammation and host response to injury experiments. TriGen has proved to be capable of ext...
[Ver más]
Cita: Gutiérrez Avilés, D., Rubio Escudero, C., Martínez Álvarez, F. y Riquelme Santos, J.C. (2014). TriGen: A genetic algorithm to mine triclusters in temporal gene expression data. Neurocomputing, 132, 42-53.
Tamaño: 3.681Mb
Formato: PDF

URI: http://hdl.handle.net/11441/43541

DOI: http://dx.doi.org/10.1016/j.neucom.2013.03.061

Mostrar el registro completo del ítem


Esta obra está bajo una Licencia Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internacional

Este registro aparece en las siguientes colecciones