Using Most Similarity Tree Based Clustering to Select the Top Most Discriminating Genes for Cancer Detection

Xinguo Lu, Yaping Lin, Xiaolin Yang, Lijun Cai, Haijun Wang, Gustaph Sanga. Using Most Similarity Tree Based Clustering to Select the Top Most Discriminating Genes for Cancer Detection. In Leszek Rutkowski, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada, editors, Artificial Intelligence and Soft Computing - ICAISC 2006, 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings. Volume 4029 of Lecture Notes in Computer Science, pages 931-940, Springer, 2006. [doi]

@inproceedings{LuLYCWS06,
  title = {Using Most Similarity Tree Based Clustering to Select the Top Most Discriminating Genes for Cancer Detection},
  author = {Xinguo Lu and Yaping Lin and Xiaolin Yang and Lijun Cai and Haijun Wang and Gustaph Sanga},
  year = {2006},
  doi = {10.1007/11785231_98},
  url = {http://dx.doi.org/10.1007/11785231_98},
  tags = {rule-based},
  researchr = {https://researchr.org/publication/LuLYCWS06},
  cites = {0},
  citedby = {0},
  pages = {931-940},
  booktitle = {Artificial Intelligence and Soft Computing - ICAISC 2006, 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings},
  editor = {Leszek Rutkowski and Ryszard Tadeusiewicz and Lotfi A. Zadeh and Jacek M. Zurada},
  volume = {4029},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-35748-3},
}