Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures
<p>Abstract</p> <p>Background</p> <p>When conducting multiple hypothesis tests, it is important to control the number of false positives, or the False Discovery Rate (FDR). However, there is a tradeoff between controlling FDR and maximizing power. Several methods have b...
Main Authors: | Lu Xin, Perkins David L |
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Format: | Article |
Language: | English |
Published: |
BMC
2007-05-01
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Series: | BMC Bioinformatics |
Online Access: | http://www.biomedcentral.com/1471-2105/8/157 |
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