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Independent filtering increases detection power for high-throughput experiments
With high-dimensional data, variable-by-variable statistical testing is often used to select variables whose behavior differs across conditions. Such an approach requires adjustment for multiple testing, which can result in low statistical power. A two-stage approach that first filters variables by...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
National Academy of Sciences
2010
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2906865/ https://ncbi.nlm.nih.gov/pubmed/20460310 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.0914005107 |
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