• Corpus ID: 25190754

A Model of Selective Advantage for the Efficient Inference of Cancer Clonal Evolution

@article{Ramazzotti2016AMO,
  title={A Model of Selective Advantage for the Efficient Inference of Cancer Clonal Evolution},
  author={Daniele Ramazzotti},
  journal={ArXiv},
  year={2016},
  volume={abs/1602.07614}
}
Recently, there has been a resurgence of interest in rigorous algorithms for the inference of cancer progression from genomic data. The motivations are manifold: (i) growing NGS and single cell data from cancer patients, (ii) need for novel Data Science and Machine Learning algorithms to infer models of cancer progression, and (iii) a desire to understand the temporal and heterogeneous structure of tumor to tame its progression by efficacious therapeutic intervention. This thesis presents a… 
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