Cancer core modules identification through genomic and transcriptomic changes correlation detection at network level.

Abstract excerpt

BACKGROUND: Identification of driver mutations among numerous genomic alternations remains a critical challenge to the elucidation of the underlying mechanisms of cancer. Because driver mutations by definition are associated with a greater number of cancer phenotypes compared to other mutations, we hypothesized that driver mutations could more easily be identified once the genotype-phenotype correlations are...

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