Multicriteria Gene Screening for Analysis of Differential Expression with DNA Microarrays

@article{Hero2004MulticriteriaGS,
  title={Multicriteria Gene Screening for Analysis of Differential Expression with DNA Microarrays},
  author={Alfred O. Hero and Gilles Fleury and Alan J. Mears and Anand Swaroop},
  journal={EURASIP J. Adv. Sig. Proc.},
  year={2004},
  volume={2004},
  pages={43-52}
}
This paper introduces a statistical methodology for identification of differentially expressed genes in DNA microarray experiments based on multiple criteria. These criteria are: false discovery rate (FDR); variance-normalized differential expression levels (paired t statistics); and minimum acceptable difference (MAD). The methodology also provides a set of simultaneous FDR confidence intervals on the true expression differences. The analysis can be implemented as a two stage algorithm in… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 25 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 39 references

False discovery rate adjusted confidence intervals for selected parameters (preprint),” J

  • Y. Benjamini, D. Yekutieli
  • Am. Statist. Assoc., vol. Submitted (2002), ,
  • 2002
Highly Influential
4 Excerpts

DNA: The secret of life, Alfred A

  • J. Watson, A. Berry
  • Knopf,
  • 2003
1 Excerpt

Estimating false discovery rates under dependence , with applications to dna microarrays

  • J. D. Storey, R. Tibshirani
  • Statistical analysis of gene expression…
  • 2003

Gene discovery using Pareto depth distributions,” J

  • G. Fleury, A. O. Hero
  • of Franklin Institute, Special Issue on Genomic…
  • 2003
1 Excerpt

Identifying di ff erentially expressed genes using false discovery rate controlling procedures

  • A. Galecki R. L. Miller, R. J. Shmookler-Reis
  • Bioinformatics
  • 2003

Similar Papers

Loading similar papers…