Linear regression and two-class classification with gene expression data

@article{Huang2003LinearRA,
  title={Linear regression and two-class classification with gene expression data},
  author={Xiaohong Huang and Wei Pan},
  journal={Bioinformatics},
  year={2003},
  volume={19 16},
  pages={2072-8}
}
MOTIVATION Using gene expression data to classify (or predict) tumor types has received much research attention recently. Due to some special features of gene expression data, several new methods have been proposed, including the weighted voting scheme of Golub et al., the compound covariate method of Hedenfalk et al. (originally proposed by Tukey), and the shrunken centroids method of Tibshirani et al. These methods look different and are more or less ad hoc. RESULTS We point out a close… CONTINUE READING