R/DWD: distance-weighted discrimination for classification, visualization and batch adjustment

@article{Huang2012RDWDDD,
  title={R/DWD: distance-weighted discrimination for classification, visualization and batch adjustment},
  author={Hanwen Huang and Xiaosun Lu and Yufeng Liu and Perry Haaland and J. S. Marron},
  journal={Bioinformatics},
  year={2012},
  volume={28 8},
  pages={1182-3}
}
UNLABELLED R/DWD is an extensible package for classification. It is built based on a recently developed powerful classification method called distance weighted discrimination (DWD). DWD is related to, and has been shown to be superior to, the support vector machine in situations that are fundamental to bioinformatics, such as very high dimensional data. DWD has proven to be very useful for several fundamental bioinformatics tasks, including classification, data visualization and removal of… CONTINUE READING
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