DMET-miner: Efficient learning of association rules from genotyping data for personalized medicine

Pietro Hiram Guzzi, Giuseppe Agapito, Maria Teresa Di Martino, Mariamena Arbitrio, Pierfrancesco Tassone, Pierosandro Tagliaferri, Mario Cannataro. DMET-miner: Efficient learning of association rules from genotyping data for personalized medicine. In Huiru Jane Zheng, Werner Dubitzky, Xiaohua Hu, Jin-Kao Hao, Daniel Berrar, Kwang-Hyun Cho, Yadong Wang, David Gilbert, editors, 2014 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2014, Belfast, United Kingdom, November 2-5, 2014. pages 59-62, IEEE, 2014. [doi]

@inproceedings{GuzziAMATTC14,
  title = {DMET-miner: Efficient learning of association rules from genotyping data for personalized medicine},
  author = {Pietro Hiram Guzzi and Giuseppe Agapito and Maria Teresa Di Martino and Mariamena Arbitrio and Pierfrancesco Tassone and Pierosandro Tagliaferri and Mario Cannataro},
  year = {2014},
  doi = {10.1109/BIBM.2014.6999127},
  url = {http://dx.doi.org/10.1109/BIBM.2014.6999127},
  researchr = {https://researchr.org/publication/GuzziAMATTC14},
  cites = {0},
  citedby = {0},
  pages = {59-62},
  booktitle = {2014 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2014, Belfast, United Kingdom, November 2-5, 2014},
  editor = {Huiru Jane Zheng and Werner Dubitzky and Xiaohua Hu and Jin-Kao Hao and Daniel Berrar and Kwang-Hyun Cho and Yadong Wang and David Gilbert},
  publisher = {IEEE},
  isbn = {978-1-4799-5669-2},
}