Error-Rate and Decision-Theoretic Methods of Multiple Testing: Which Genes Have High Objective Probabilities of Differential Expression?

Verfasser / Beitragende:
[David R. Bickel]
Ort, Verlag, Jahr:
2004
Enthalten in:
Statistical Applications in Genetics and Molecular Biology, 3/1(2004-05-19), 1-20
Format:
Artikel (online)
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024 7 0 |a 10.2202/1544-6115.1043  |2 doi 
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100 1 |a Bickel  |D David R.  |u Medical College of Georgia (currently at Pioneer Hi-Bred International) 
245 1 0 |a Error-Rate and Decision-Theoretic Methods of Multiple Testing: Which Genes Have High Objective Probabilities of Differential Expression?  |h [Elektronische Daten]  |c [David R. Bickel] 
520 3 |a Given a multiple testing situation, the null hypotheses that appear to have sufficiently low probabilities of truth may be rejected using a simple, nonparametric method based on decision theory. This applies not only to posterior levels of belief, but also to conditional probabilities in the sense of relative frequencies, as seen from their equality to local false discovery rates (dFDRs). This approach neither requires the estimation of probability densities, nor of their ratios. Decision theory can also inform the selection of false discovery rate weights. An application to gene expression microarrays is presented with a discussion of the applicability of the assumption of "clumpy dependence." 
540 |a ©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston 
690 7 |a Microarrays  |2 nationallicence 
690 7 |a Statistical Theory and Methods  |2 nationallicence 
690 7 |a Proportion of false positives  |2 nationallicence 
690 7 |a positive false discovery rate  |2 nationallicence 
690 7 |a nonparametric empirical Bayes  |2 nationallicence 
690 7 |a gene expression  |2 nationallicence 
690 7 |a multiple hypotheses  |2 nationallicence 
690 7 |a multiple comparisons  |2 nationallicence 
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950 |B NATIONALLICENCE  |P 773  |E 0-  |t Statistical Applications in Genetics and Molecular Biology  |d De Gruyter  |g 3/1(2004-05-19), 1-20  |q 3:1<1  |1 2004  |2 3  |o sagmb 
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