Bayesian inference of negative and positive selection in human cancers

@article{Sunyaev2017BayesianIO,
  title={Bayesian inference of negative and positive selection in human cancers},
  author={Shamil R Sunyaev and Shamil R. Sunyaev},
  journal={Nature Genetics},
  year={2017},
  volume={49},
  pages={1785-1788}
}
Cancer genomics efforts have identified genes and regulatory elements driving cancer development and neoplastic progression. From a microevolution standpoint, these are subject to positive selection. Although elusive in current studies, genes whose wild-type coding sequences are needed for tumor growth are also of key interest. They are expected to experience negative selection and stay intact under pressure of incessant mutation. The detection of significantly mutated (or undermutated) genes… CONTINUE READING
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