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Estimating the local false discovery rate via a bootstrap solution to the reference class problem
Methods of estimating the local false discovery rate (LFDR) have been applied to different types of datasets such as high-throughput biological data, diffusion tensor imaging (DTI), and genome-wide association (GWA) studies. We present a model for LFDR estimation that incorporates a covariate into e...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6261018/ https://ncbi.nlm.nih.gov/pubmed/30475807 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0206902 |
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