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- W2138832911 abstract "Motivation: Statistical tests for the detection of differentially expressed genes lead to a large collection of p-values one for each gene comparison. Without any further adjustment, these p-values may lead to a large number of false positives, simply because the number of genes to be tested is huge, which might mean wastage of laboratory resources. To account for multiple hypotheses, these p-values are typically adjusted using a single step method or a step-down method in order to achieve an overall control of the error rate (the so-called familywise error rate). In many applications, this may lead to an overly conservative strategy leading to too few genes being flagged." @default.
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- W2138832911 date "2005-02-02" @default.
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- W2138832911 title "Empirical Bayes screening of many p-values with applications to microarray studies" @default.
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- W2138832911 doi "https://doi.org/10.1093/bioinformatics/bti301" @default.
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