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Availability and rapid growth of microarray databases have made an integrated analysis of these databases computationally challenging. We present a novel approach to content-based searching in microarray databases, using binary vector representations, that is inspired from the Chemoinformatics field. A benchmark compendium of microarray datasets is established for evaluation of content-based searching...
Selection of important genes responsible for a disease is an important task in bioinformatics. Microarray data are often used with differential expression being considered as a cue. Recently, such expression data are supplemented by gene ontology and genes/proteins interaction network for the selection task. The functional knowledge and interaction structure have become critical for understanding...
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