Bias in the estimation of false discovery rate in microarray studies

@article{Pawitan2005BiasIT,
  title={Bias in the estimation of false discovery rate in microarray studies},
  author={Yudi Pawitan and Karuturi R. Krishna Murthy and Stefan Michiels and Alexander Ploner},
  journal={Bioinformatics},
  year={2005},
  volume={21 20},
  pages={3865-72}
}
MOTIVATION The false discovery rate (FDR) provides a key statistical assessment for microarray studies. Its value depends on the proportion pi(0) of non-differentially expressed (non-DE) genes. In most microarray studies, many genes have small effects not easily separable from non-DE genes. As a result, current methods often overestimate pi(0) and FDR, leading to unnecessary loss of power in the overall analysis. METHODS For the common two-sample comparison we derive a natural mixture model… CONTINUE READING
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