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Detalle de: Bioinformatics methods for the analysis of expression arrays: data clustering and information extraction

Title Bioinformatics methods for the analysis of expression arrays: data clustering and information extraction
Abstract

Expression arrays facilitate the monitoring of changes in the expression patterns of large collections of genes. The analysis of expression array data has become a computationally-intensive task that requires the development of bioinformatics technology for a number of key stages in the process, such as image analysis, database storage, gene clustering and information extraction. Here, we review the current trends in each of these areas, with particular emphasis on the development of the related technology being carried out within our groups.

Apa Reference Tamames, J., Clark, D., Herrero, J., Dopazo, J., Blaschke, C., Fernández, J.M., Oliveros, J.C. & Valencia, A. (2002). Bioinformatics methods for the analysis of expression arrays: data clustering and information extraction. Journal of Biotechnology, 98(2-3), 269-283. 10.1016/S0168-1656(02)00137-2
Doi 10.1016/S0168-1656(02)00137-2
Publication Date Sep 2002
Publication Type Article
Researcher Juan Carlos Oliveros Collazos
Ontology Biological Databases, Expression Profiling, Image analysis, Clustering
Research Groups
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