The limit fold change model: A practical approach for selecting differentially expressed genes from microarray data

@inproceedings{Mutch2002TheLF,
  title={The limit fold change model: A practical approach for selecting differentially expressed genes from microarray data},
  author={David M. Mutch and Alvin Berger and Robert Mansourian and Andreas Rytz and Matthew-Alan Roberts},
  booktitle={BMC Bioinformatics},
  year={2002}
}
The biomedical community is developing new methods of data analysis to more efficiently process the massive data sets produced by microarray experiments. Systematic and global mathematical approaches that can be readily applied to a large number of experimental designs become fundamental to correctly handle the otherwise overwhelming data sets. The gene selection model presented herein is based on the observation that: (1) variance of gene expression is a function of absolute expression; (2… CONTINUE READING
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