Exploratory data analysis of DNA microarrays by multivariate curve resolution |
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Authors: | Jaumot Joaquim Tauler Romà Gargallo Raimundo |
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Institution: | Department of Analytical Chemistry, Universitat de Barcelona, Diagonal 647, E-08028 Barcelona, Spain. |
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Abstract: | 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. |
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Keywords: | Gene expression data DNA microarray Multivariate curve resolution Cancer |
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