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Background The etiology of cancer involves a complex series of genetic and environmental conditions. To better represent and study the intricate genetics of cancer onset and progression, we construct a network of biological interactions to search for groups of genes that compose cancer-related modules. Three cancer expression datasets are investigated to prioritize genes and interactions associated...
In the post-genome era, high-throughput experimental methods have elucidated many of the complex interactions in metabolic, regulatory, and signal transduction pathways. Graph theoretic methods have been broadly applied to study properties of these interactions. Here we explore the relationship between network properties of genes and their implication in cancer etiology. We extract pathway interactions...
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