Stepwise Group Sparse Regression (SGSR): Gene-Set-Based Pharmacogenomic Predictive Models with Stepwise Selection of Functional Priors

In Sock Jang, Rodrigo Dienstmann, Adam A. Margolin, Justin Guinney. Stepwise Group Sparse Regression (SGSR): Gene-Set-Based Pharmacogenomic Predictive Models with Stepwise Selection of Functional Priors. In Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Teri E. Klein, Marylyn D. Ritchie, editors, Biocomputing 2015: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 4-8, 2015. pages 32-43, 2015. [doi]

@inproceedings{JangDMG15,
  title = {Stepwise Group Sparse Regression (SGSR): Gene-Set-Based Pharmacogenomic Predictive Models with Stepwise Selection of Functional Priors},
  author = {In Sock Jang and Rodrigo Dienstmann and Adam A. Margolin and Justin Guinney},
  year = {2015},
  url = {http://psb.stanford.edu/psb-online/proceedings/psb2015/jang.pdf},
  researchr = {https://researchr.org/publication/JangDMG15},
  cites = {0},
  citedby = {0},
  pages = {32-43},
  booktitle = {Biocomputing 2015: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 4-8, 2015},
  editor = {Russ B. Altman and A. Keith Dunker and Lawrence Hunter and Teri E. Klein and Marylyn D. Ritchie},
}