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Exploratory data analysis of DNA microarrays by multivariate curve resolution

AuthorsJaumot, Joaquim ; Tauler, Romà ; Gargallo, Raimundo
KeywordsGene expression data
DNA microarray
Multivariate curve resolution
Issue Date1-Nov-2006
CitationAnalytical and Bioanalytical Chemistry 3358(1):76-89(2006)
AbstractIn 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.
Description14 pages, 3 tables, 4 figures.
Publisher version (URL)http://dx.doi.org/10.1016/j.ab.2006.07.028
Appears in Collections:(IDAEA) Artículos
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