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Título: | Exploratory data analysis of DNA microarrays by multivariate curve resolution |
Autor: | Jaumot, Joaquim CSIC ORCID ; Tauler, Romà CSIC ORCID; Gargallo, Raimundo | Palabras clave: | Gene expression data DNA microarray Multivariate curve resolution Cancer |
Fecha de publicación: | 1-nov-2006 | Editor: | Elsevier | Citación: | Analytical and Bioanalytical Chemistry 3358(1):76-89(2006) | Resumen: | In this work, the application of a multivariate curve resolution procedure based on alternating least squares optimization (MCR-ALS) for the analysis of data from DNA microarrays is proposed. For this purpose, simulated and publicly available experimental data sets have been analyzed. Application of MCR-ALS, a method that operates without the use of any training set, has enabled the resolution of the relevant information about different cancer lines classification using a set of few components; each of these defined by a sample and a pure gene expression profile. From resolved sample profiles, a classification of samples according to their origin is proposed. From the resolved pure gene expression profiles, a set of over- or underexpressed genes that could be related to the development of cancer diseases has been selected. Advantages of the MCR-ALS procedure in relation to other previously proposed procedures such as principal component analysis are discussed. | Descripción: | 14 pages, 3 tables, 4 figures. | Versión del editor: | http://dx.doi.org/10.1016/j.ab.2006.07.028 | URI: | http://hdl.handle.net/10261/11810 | DOI: | 10.1016/j.ab.2006.07.028 | ISSN: | 1618-2642 | E-ISSN: | 1618-2650 |
Aparece en las colecciones: | (IDAEA) Artículos |
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