A team from Denmark, Germany, and Italy outline an integrated, meta-gene-based approach for tapping de novo pathway data to uncover potential expression-based biomarkers to predict complex disease outcomes. The researchers considered their strategy in the context of breast cancer data generated for the Cancer Genome Atlas, for example, before exploring the performance of the meta-gene approach relative to biomarker searches that rely on single gene features.

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