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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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}
}