Differential gene expression graphs: A data structure for classification in DNA microarrays

Abstract

This paper proposes an innovative data structure to be used as a backbone in designing microarray phenotype sample classifiers. The data structure is based on graphs and it is built from a differential analysis of the expression levels of healthy and diseased tissue samples in a microarray dataset. The proposed data structure is built in such a way that, by… (More)
DOI: 10.1109/BIBE.2008.4696689

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