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Bootstrapping of gene-expression data improves and controls the false discovery rate of differentially expressed genes

The ordinary-, penalized-, and bootstrap t-test, least squares and best linear unbiased prediction were compared for their false discovery rates (FDR), i.e. the fraction of falsely discovered genes, which was empirically estimated in a duplicate of the data set. The bootstrap-t-test yielded up to 80...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखकों: Meuwissen, Theo HE, Goddard, Mike E
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: BioMed Central 2004
विषय:
ऑनलाइन पहुंच:https://ncbi.nlm.nih.gov/pmc/articles/PMC2697185/
https://ncbi.nlm.nih.gov/pubmed/15040898
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1297-9686-36-2-191
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