A note on using permutation-based false discovery rate estimates to compare different analysis methods for microarray data
Motivation: False discovery rate (FDR) is defined as the expected percentage of false positives among all the claimed positives. In practice, with the true FDR unknown, an estimated FDR can serve as a criterion to evaluate the performance of various statistical methods under the condition that the e...
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Veröffentlicht in: | Bioinformatics 2005-12, Vol.21 (23), p.4280-4288 |
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Sprache: | eng |
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