Symbolic discriminant analysis of microarray data in autoimmune disease.

@article{Moore2002SymbolicDA,
  title={Symbolic discriminant analysis of microarray data in autoimmune disease.},
  author={Jason H. Moore and Joel S. Parker and Nancy J Olsen and Thomas M. Aune},
  journal={Genetic epidemiology},
  year={2002},
  volume={23 1},
  pages={57-69}
}
New laboratory technologies such as DNA microarrays have made it possible to measure the expression levels of thousands of genes simultaneously in a particular cell or tissue. The challenge for genetic epidemiologists will be to develop statistical and computational methods that are able to identify subsets of gene expression variables that classify and predict clinical endpoints. Linear discriminant analysis is a popular multivariate statistical approach for classification of observations into… CONTINUE READING
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