Sample Size Estimation while Controlling False Discovery Rate for Microarray Experiments Using the ssize.fdr Package

Abstract:

Microarray experiments are becoming more and more popular and critical in many biological disciplines. As in any statistical experiment, appropriate experimental design is essential for reliable statistical inference, and sample size has a crucial role in experimental design. Because microarray experiments are rather costly, it is important to have an adequate sample size that will achieve a desired power without wasting resources.

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Authors

Affiliations

Megan Orr

 

Peng Liu

 

Published

June 1, 2009

DOI

10.32614/RJ-2009-019

Volume

Pages

1/1

47 - 53


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    Citation

    For attribution, please cite this work as

    Orr & Liu, "Sample Size Estimation while Controlling False Discovery Rate for Microarray Experiments Using the ssize.fdr Package", The R Journal, 2009

    BibTeX citation

    @article{RJ-2009-019,
      author = {Orr, Megan and Liu, Peng},
      title = {Sample Size Estimation while Controlling False Discovery Rate for Microarray Experiments Using the ssize.fdr Package},
      journal = {The R Journal},
      year = {2009},
      note = {https://doi.org/10.32614/RJ-2009-019},
      doi = {10.32614/RJ-2009-019},
      volume = {1},
      issue = {1},
      issn = {2073-4859},
      pages = {47-53}
    }