Despite the incompleteness of chromatin interactome data, our machine learning approach is expected to call recurrent mutations on the basis of the features shared by observed recurrent mutations.

Conclusions: Valid and reliable detection of recurrence using big data is feasible. These tools will enable extensive, novel research on quality, effectiveness, and outcomes for lung and colorectal ...

To perform regression analysis in this setting, we propose a semiparametric joint model that formulates the marginal distributions of the recurrent event process and dependent censoring time through ...