The study of genes is currently carried out by systematic analysis that relies on data produced by the microarray technology. The recent development of such technology and the increasing number of analysed samples result in an increased volume of raw data for each experiment. The time for preprocessing represents an important amount of the analysis, so the need to introduce tools for the efficient preprocessing arises. This paper presents a system able to manage and preprocess microarray data in a parallel way. First experimental results on Affymetrix data showing appreciable improvements in term of execution times are discussed. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Guzzi, P. H., & Cannataro, M. (2011). Parallel pre-processing of affymetrix microarray data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6586 LNCS, pp. 225–232). https://doi.org/10.1007/978-3-642-21878-1_28
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