Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation
Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation
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Publisher
BioMed Central
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Language
English
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BioMed Central
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Contents
Background: The use of current high-throughput genetic, genomic and post-genomic data leads to the simultaneous evaluation of a large number of statistical hypothesis and, at the same time, to the multiple-testing problem. As an alternative to the too conservative Family-Wise Error-Rate (FWER), the False Discovery Rate (FDR) has appeared for the la...
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Full title
Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation
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TN_cdi_hal_primary_oai_HAL_hal_01197596v1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_01197596v1
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ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/1471-2105-10-84
