IDA - Intelligent Data Analysis Research Group

BibTeX Entry

@inproceedings{moulik.ilp.2008,
  category = {ida-publications},
  author = {Karel Moul{\'i}k and Filip {\v Z}elezn{\'y}},
  title = {Predicting Gene Coexpression from Pathway Relations},
  booktitle = {Late Breaking Papers, the 18th International Conference on Inductive Logic Programming},
  editor = {Filip {\v Z}elezn{\'y} and Nada Lavra{\v c}},
  year = {2008},
  abstract = {We address the problem of learning to predict the coexpression of gene pairs, given background knowledge consisting of the descriptions of biological pathways in which the genes are involved.We formalize this as a non-standard graph-mining problem and devise an algorithm to solve it. Our experiments conducted on yeast gene expression data indicate an under-fitting tendency of the algorithm, calling for a more expressive formalism, such as ILP, to be employed for this biologically significant problem.},
  vvvs = {1},
  projnum = {12-05001/13133},
  projects = {ML/BIO},
}


Creative Commons License  Content on this site is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Czech Republic License.