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An effective method for controlling false discovery and false nondiscovery rates in genome-scale RNAi screens
Zhang X.D.
2010-10-01
Source PublicationJournal of Biomolecular Screening
ISSN10870571 1552454X
Volume15Issue:9Pages:1116-1122
AbstractIn most genome-scale RNA interference (RNAi) screens, the ultimate goal is to select siRNAs with a large inhibition or activation effect. The selection of hits typically requires statistical control of 2 errors: false positives and false negatives. Traditional methods of controlling false positives and false negatives do not take into account the important feature in RNAi screens: many small-interfering RNAs (siRNAs) may have very small but real nonzero average effects on the measured response and thus cannot allow us to effectively control false positives and false negatives. To address for deficiencies in the application of traditional approaches in RNAi screening, the author proposes a new method for controlling false positives and false negatives in RNAi high-throughput screens. The false negatives are statistically controlled through a false-negative rate (FNR) or false nondiscovery rate (FNDR). FNR is the proportion of false negatives among all siRNAs examined, whereas FNDR is the proportion of false negatives among declared nonhits. The author also proposes new concepts, q-value and p-value, to control FNR and FNDR, respectively. The proposed method should have broad utility for hit selection in which one needs to control both false discovery and false nondiscovery rates in genome-scale RNAi screens in a robust manner. © 2010 Society for Laboratory Automation and Screening.
Keyword-value false discovery rate false nondiscovery rate p q RNAi high-throughput screening
DOI10.1177/1087057110381783
URLView the original
Language英語
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被引频次[WOS]:15   [WOS记录]     [WOS相关记录]
Document TypeJournal article
专题Faculty of Health Sciences
AffiliationMerck Research Laboratories
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Zhang X.D.. An effective method for controlling false discovery and false nondiscovery rates in genome-scale RNAi screens[J]. Journal of Biomolecular Screening,2010,15(9):1116-1122.
APA Zhang X.D..(2010).An effective method for controlling false discovery and false nondiscovery rates in genome-scale RNAi screens.Journal of Biomolecular Screening,15(9),1116-1122.
MLA Zhang X.D.."An effective method for controlling false discovery and false nondiscovery rates in genome-scale RNAi screens".Journal of Biomolecular Screening 15.9(2010):1116-1122.
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