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Cancer development and progression is driven by a complex pattern of genomic and epigenomic perturbations. Both types of perturbations can affect gene expression levels and disease outcome. Integrative analysis of cancer genomics data may therefore improve detection of perturbed genes and prediction of disease state.
(Switnicki et al., 2016) PINCAGE: probabilistic integration of cancer genomics data for perturbed gene identification and sample classification. Bioinformatics.