José Miguel Urquiza Ortiz

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— Affymetrix High Oligonucleotide expression arrays are widely used for the high-throughput assessment of gene expression of thousands of genes simultaneously. Although disputed by several authors, there are non-biological variations and systematic biases that must be removed as much as possible through the pre-processing step before an absolute expression(More)
— This work presents a feasible solution to the problem of book losses prediction from financial and general data in companies. The specific problem tacked in this work corresponds to a real dataset of Spanish companies. A Mutual Information-based criterion has been applied in order to reduce the initial set of variables, and a Support Vector Machine(More)
—In current Proteomics research, prediction of protein-protein interactions (PPIs) is one of the main goals, since PPIs explain most of the cellular biological processes. In the present work, we propose a method for prediction of protein-protein interactions in Yeast. Our proposal is based on the well-known classification paradigm called Support Vector(More)
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