Automatic recognition of topic-classified relations between prostate cancer and genes using MEDLINE abstracts

@article{Chun2006AutomaticRO,
  title={Automatic recognition of topic-classified relations between prostate cancer and genes using MEDLINE abstracts},
  author={Hong-Woo Chun and Yoshimasa Tsuruoka and Jin-Dong Kim and Rie Shiba and Naoki Nagata and Teruyoshi Hishiki and Jun'ichi Tsujii},
  journal={BMC Bioinformatics},
  year={2006},
  volume={7},
  pages={S4 - S4}
}
Automatic recognition of relations between a specific disease term and its relevant genes or protein terms is an important practice of bioinformatics. Considering the utility of the results of this approach, we identified prostate cancer and gene terms with the ID tags of public biomedical databases. Moreover, considering that genetics experts will use our… CONTINUE READING