Exploring genetic variability in drug therapy by selecting a minimum subset of the most informative single nucleotide polymorphisms through approximation of a markov blanket in a kernel-induced space

Qiang Lou, Henry P. Parkman, Michael R. Jacobs, Evgeny Krynetskiy, Zoran Obradovic. Exploring genetic variability in drug therapy by selecting a minimum subset of the most informative single nucleotide polymorphisms through approximation of a markov blanket in a kernel-induced space. In 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2012, San Diego, CA, USA, May 9-12, 2012. pages 156-163, IEEE, 2012. [doi]

@inproceedings{LouPJKO12,
  title = {Exploring genetic variability in drug therapy by selecting a minimum subset of the most informative single nucleotide polymorphisms through approximation of a markov blanket in a kernel-induced space},
  author = {Qiang Lou and Henry P. Parkman and Michael R. Jacobs and Evgeny Krynetskiy and Zoran Obradovic},
  year = {2012},
  doi = {10.1109/CIBCB.2012.6217225},
  url = {http://dx.doi.org/10.1109/CIBCB.2012.6217225},
  researchr = {https://researchr.org/publication/LouPJKO12},
  cites = {0},
  citedby = {0},
  pages = {156-163},
  booktitle = {2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2012, San Diego, CA, USA, May 9-12, 2012},
  publisher = {IEEE},
  isbn = {978-1-4673-1190-8},
}