Minimal-redundancy-maximal-relevance feature selection using different relevance measures for omics data classification

Junshan Yang, Zexuan Zhu, Shan He, Zhen Ji. Minimal-redundancy-maximal-relevance feature selection using different relevance measures for omics data classification. In 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Singapore, April 16-19, 2013. pages 246-251, IEEE, 2013. [doi]

@inproceedings{YangZHJ13,
  title = {Minimal-redundancy-maximal-relevance feature selection using different relevance measures for omics data classification},
  author = {Junshan Yang and Zexuan Zhu and Shan He and Zhen Ji},
  year = {2013},
  doi = {10.1109/CIBCB.2013.6595417},
  url = {http://dx.doi.org/10.1109/CIBCB.2013.6595417},
  researchr = {https://researchr.org/publication/YangZHJ13},
  cites = {0},
  citedby = {0},
  pages = {246-251},
  booktitle = {2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Singapore, April 16-19, 2013},
  publisher = {IEEE},
}