A practical false discovery rate approach to identifying patterns of differential expression in microarray data

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A practical false discovery rate approach to identifying patterns of differential expression in microarray data is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/bioinformatics/GrantLS05
P356DOI10.1093/BIOINFORMATICS/BTI407
P698PubMed publication ID15797908
P5875ResearchGate publication ID7937942

P50authorGregory R GrantQ41045552
Christian J StoeckertQ67220657
P2093author name stringJunmin Liu
P2860cites workSignificance analysis of microarrays applied to the ionizing radiation responseQ24606608
The control of the false discovery rate in multiple testing under dependencyQ29032132
Generation of patterns from gene expression data by assigning confidence to differentially expressed genesQ30620367
Empirical bayes methods and false discovery rates for microarraysQ46277377
On the use of permutation in and the performance of a class of nonparametric methods to detect differential gene expressionQ47745634
Improving false discovery rate estimation.Q48557492
P433issue11
P407language of work or nameEnglishQ1860
P304page(s)2684-2690
P577publication date2005-03-29
P1433published inBioinformaticsQ4914910
P1476titleA practical false discovery rate approach to identifying patterns of differential expression in microarray data
P478volume21

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