The clustering of regression models method with applications in gene expression data.

@article{Qin2006TheCO,
  title={The clustering of regression models method with applications in gene expression data.},
  author={L Qin and Steven G. Self},
  journal={Biometrics},
  year={2006},
  volume={62 2},
  pages={526-33}
}
Identification of differentially expressed genes and clustering of genes are two important and complementary objectives addressed with gene expression data. For the differential expression question, many "per-gene" analytic methods have been proposed. These methods can generally be characterized as using a regression function to independently model the observations for each gene; various adjustments for multiplicity are then used to interpret the statistical significance of these per-gene… CONTINUE READING

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