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Open AccessIntegrating mutation and gene expression cross-sectional data to infer cancer progression
A major problem in identifying the best therapeutic targets for cancer is the molecular heterogeneity of the disease. Cancer is often caused by an accumulation of mutations which produce irreversible damage to...
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Article
Open AccessIntegrative modeling of multi-omics data to identify cancer drivers and infer patient-specific gene activity
High throughput technologies have been used to profile genes in multiple different dimensions, such as genetic variation, copy number, gene and protein expression, epigenetics, metabolomics. Computational anal...