An ensemble approach to accurately detect somatic mutations using SomaticSeq

  title={An ensemble approach to accurately detect somatic mutations using SomaticSeq},
  author={Li Tai Fang and Pegah Tootoonchi Afshar and Aparna Chhibber and Marghoob Mohiyuddin and Yu Fan and John C. Mu and Greg Gibeling and S. Barr and Narges Bani Asadi and Mark B Gerstein and Daniel C. Koboldt and Wenyi Wang and Wing Hung Wong and Hugo Y. K. Lam},
  booktitle={Genome Biology},
SomaticSeq is an accurate somatic mutation detection pipeline implementing a stochastic boosting algorithm to produce highly accurate somatic mutation calls for both single nucleotide variants and small insertions and deletions. The workflow currently incorporates five state-of-the-art somatic mutation callers, and extracts over 70 individual genomic and sequencing features for each candidate site. A training set is provided to an adaptively boosted decision tree learner to create a classifier… CONTINUE READING
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