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]

Abstract

Abstract is missing.