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Power and type I error rate of false discovery rate approaches in genome-wide association studies
In genome-wide genetic studies with a large number of markers, balancing the type I error rate and power is a challenging issue. Recently proposed false discovery rate (FDR) approaches are promising solutions to this problem. Using the 100 simulated datasets of a genome-wide marker map spaced about...
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| Huvudupphovsmän: | , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2005
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1866802/ https://ncbi.nlm.nih.gov/pubmed/16451593 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2156-6-S1-S134 |
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