Sample size for FDR-control in microarray data analysis

@article{Jung2005SampleSF,
  title={Sample size for FDR-control in microarray data analysis},
  author={Sin-Ho Jung},
  journal={Bioinformatics},
  year={2005},
  volume={21 14},
  pages={3097-104}
}
We consider identifying differentially expressing genes between two patient groups using microarray experiment. We propose a sample size calculation method for a specified number of true rejections while controlling the false discovery rate at a desired level. Input parameters for the sample size calculation include the allocation proportion in each group, the number of genes in each array, the number of differentially expressing genes and the effect sizes among the differentially expressing… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 45 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 20 references

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

  • JD Storey, R. Tibshirani
  • Technical Report 2001-28,
  • 2001
Highly Influential
5 Excerpts

Design of studies with DNA microarrays

  • J. D. Storey
  • Genet . Epidemiol .
  • 2002
Highly Influential
10 Excerpts

Power and sample size estimation in high dimensional biology. Statistical Methods in Medical Research 13:325–338

  • GL Gadbury, GP Page, +6 authors DB. Allison
  • 2004
2 Excerpts

A framework for controlling false discovery rates and minimizing the amount of genotyping in gene-finding studies

  • van den Oord EJCG, PF Sullivan
  • Human Heredity 56(4):188–199
  • 2003

SAM thresholding and false discovery rates for detecting differential gene expression in DNA microarrays

  • G. Garrett Parmigiani, S. E., R. A. Irizarry, S. L. Zeger
  • The Analysis of Gene Expression Data : Methods…
  • 2003

Similar Papers

Loading similar papers…