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Genome-wide expression microarray studies have revealed that the biological and clinical heterogeneity of breast cancer can be partly explained by information embedded within a complex but ordered transcriptional architecture. Comprising this architecture are gene expression networks, or signatures, reflecting biochemical and behavioral properties of tumors that might be harnessed to improve disease subtyping, patient prognosis and prediction of therapeutic response. Emergingdoi:10.1186/bcr1662 pmid:17397520 pmcid:PMC1868923 fatcat:jvzoro26afeclj5cpa2jmaex74