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Empirical Bayes shrinkage and false discovery rate estimation, allowing for unwanted variation
We combine two important ideas in the analysis of large-scale genomics experiments (e.g. experiments that aim to identify genes that are differentially expressed between two conditions). The first is use of Empirical Bayes (EB) methods to handle the large number of potentially-sparse effects, and es...
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| Yayımlandı: | Biostatistics |
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| Asıl Yazarlar: | , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Oxford University Press
2018
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8204175/ https://ncbi.nlm.nih.gov/pubmed/29985984 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxy029 |
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