On statistical modeling of sequencing noise in high depth data to assess tumor evolution
Raúl Rabadán, Gyan V Bhanot, Sonia Marsilio, Nicholas Chiorazzi, Laura Pasqualucci, Hossein Khiabanian
This paper develops a statistical model for sequencing noise in high-depth data to identify mutations associated with tumor progression and recurrence.
Journal of Statistical Physics · Dec 21, 2017Peer-reviewedBioinformatics