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  1. Article

    Open Access

    Integrative 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...

    Ana B. Pavel, Dmitriy Sonkin, Anupama Reddy in BMC Systems Biology (2016)

  2. Article

    Open Access

    Integrating 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...

    Julia L. Fleck, Ana B. Pavel, Christos G. Cassandras in BMC Systems Biology (2016)