Bridging Cancer Genomics Data Resources

Using mathematical theories of causality, we aim to infer the plausible sequences of genomic alterations that, by a process of accumulation over time, selectively make a tumor fitter to survive, expand and diffuse. Specifically, we will: extend the causality theory; apply it to new data and validate the model translationally; and disseminate new tools.