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Many methods have been published to prioritize genes using network theory. By using protein-protein interaction (PPI) data, it is possible to use mathematical features to rank and prioritize genes products in the network. Taking into account that genes related to the same diseases tend to connect, in the network structure, the prioritization methods search for candidate genes in the neighborhood of...
Various statistical and machine learning based algorithms have been proposed in literature for selecting an informative subset of genes from micro array data sets. The recent trend is to use functional knowledge to aid the gene selection process. In this paper we propose a clustering algorithm which generates multiple views (clusters) from the micro array expression profiles, each representing a particular...
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