MUSE: A Multi-locus Sampling-based Epistasis Algorithm for Quantitative Genetic Trait Prediction

Dan He, Laxmi Parida. MUSE: A Multi-locus Sampling-based Epistasis Algorithm for Quantitative Genetic Trait Prediction. In Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Teri E. Klein, editors, Biocomputing 2017: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 3-7, 2017. pages 426-437, 2017. [doi]

@inproceedings{HeP17-0,
  title = {MUSE: A Multi-locus Sampling-based Epistasis Algorithm for Quantitative Genetic Trait Prediction},
  author = {Dan He and Laxmi Parida},
  year = {2017},
  url = {http://psb.stanford.edu/psb-online/proceedings/psb17/he.pdf},
  researchr = {https://researchr.org/publication/HeP17-0},
  cites = {0},
  citedby = {0},
  pages = {426-437},
  booktitle = {Biocomputing 2017: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 3-7, 2017},
  editor = {Russ B. Altman and A. Keith Dunker and Lawrence Hunter and Marylyn D. Ritchie and Teri E. Klein},
}