Co-expression module analysis reveals biological processes, genomic gain, and regulatory mechanisms associated with breast cancer progression

Abstract excerpt

BACKGROUND: Gene expression signatures are typically identified by correlating gene expression patterns to a disease phenotype of interest. However, individual gene-based signatures usually suffer from low reproducibility and interpretability. RESULTS: We have developed a novel algorithm Iterative Clique Enumeration (ICE) for identifying relatively independent maximal cliques as co-expression modules and a...

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