Dimension reduction strategies for analyzing global gene expression data with a response.

@article{Chiaromonte2002DimensionRS,
  title={Dimension reduction strategies for analyzing global gene expression data with a response.},
  author={Francesca Chiaromonte and Jessica Martinelli},
  journal={Mathematical biosciences},
  year={2002},
  volume={176 1},
  pages={123-44}
}
The analysis of global gene expression data from microarrays is breaking new ground in genetics research, while confronting modelers and statisticians with many critical issues. In this paper, we consider data sets in which a categorical or continuous response is recorded, along with gene expression, on a given number of experimental samples. Data of this type are usually employed to create a prediction mechanism for the response based on gene expression, and to identify a subset of relevant… CONTINUE READING