Models for microarray gene expression data.

@article{Lee2002ModelsFM,
  title={Models for microarray gene expression data.},
  author={Mei-Ling Ting Lee and Weining Lu and George Alex Whitmore and David Beier},
  journal={Journal of biopharmaceutical statistics},
  year={2002},
  volume={12 1},
  pages={1-19}
}
This paper describes a general methodology for the analysis of differential gene expression based on microarray data. First, we characterize the data by a linear statistical model that accounts for relevant sources of variation in the data and then we consider estimation of the model parameters. Because microarray studies typically involve thousands of genes, we propose a two-stage method for parameter estimation. The interaction terms for genes and experimental conditions in this model capture… CONTINUE READING