A False Discovery Rate approach to separate the score distributions of induced and non-induced genes

@inproceedings{Scheid2003AFD,
  title={A False Discovery Rate approach to separate the score distributions of induced and non-induced genes},
  author={Stefanie Scheid and Rainer Spang},
  year={2003}
}
The distribution of scores for differential gene expression observed in microarray experiments give rise to the assumption that the underlying score distributions of induced and non-induced genes share wide overlapping regions. Our aim is to reconstruct this mixture not only for extremal score regions but over the whole range of scores. We propose and evaluate a method based on the theory of False Discovery Rates. 

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FDR approach to separate score distributions – DSC

  • Stefanie Scheid
  • 2003

Statistical methods for identifying differentially expressed genes in replicated cDNA microarray experiments

  • S. Dudoit, Y. H. Yang, M. J. Callow, T. P. Speed
  • Statistica Sinica
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