Selection bias in gene extraction on the basis of microarray gene-expression data.

@article{Ambroise2002SelectionBI,
  title={Selection bias in gene extraction on the basis of microarray gene-expression data.},
  author={Christophe Ambroise and Geoffrey J. McLachlan},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2002},
  volume={99 10},
  pages={6562-6}
}
In the context of cancer diagnosis and treatment, we consider the problem of constructing an accurate prediction rule on the basis of a relatively small number of tumor tissue samples of known type containing the expression data on very many (possibly thousands) genes. Recently, results have been presented in the literature suggesting that it is possible to construct a prediction rule from only a few genes such that it has a negligible prediction error rate. However, in these results the test… CONTINUE READING
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